Data Scientist jobs in Chandler, AZ

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyse large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities + Bonus: Experience of creating documents using LATEX + Bonus: Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please contact us at *********************** . We will review your request for reasonable accommodation on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment. Data Pipeline Development: + Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services. + Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts. + Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment. + Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users. Log Aggregation & Metrics Collection: + Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems. + Develop custom Lua functions and regex parsers for transforming and routing logs as required. Data Analysis, Visualization & Alerting: + Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity. + Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services. + Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues. + Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL. Cluster Management & Data Storage: + Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying. + Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance. + Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment. Application Performance Monitoring: + Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance. **Qualifications** HS Diploma with 9+ years' experience/professional Required Skills and Experience + Clearance required: Top Secret + Must have IAT level II/III certification (i.e., CompTIA Security+(CE)) + Must have experience and certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation. + Proficiency in Python for developing and maintaining data pipelines. + Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk. + Experience deploying and configuring agents for log aggregation and system monitoring. + Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation. + Effective written and oral communication skills + Certification(s) in relevant technologies \#NSS \#DL \#NSS \#AR **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you canexpect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $140,000.00 - USD $160,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6237_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: We are seeking a Senior Data Scientist to build data-driven strategies that enhance the authentication and risk signaling of financial instruments across our platform. In this role, you will analyze large-scale transactional and behavioral data to detect patterns of fraud, identify vulnerabilities, and generate actionable insights to launch risk strategies to mitigate fraud and influence product partners to build product solutions that improve security and user experience without compromising on customer friction. You will collaborate closely with Machine Learning Engineers, product managers, engineers, and cross-functional teams to socialize new ideas and build capabilities. Your work will be critical in shaping scalable, intelligent systems that mitigate fraud while minimizing user friction. Job Description: BS/BA degree in Mathematics Statistics, Operations Research, Engineering, Economics or related quantitative discipline or equivalent with 6+ years' experience. ; Masters degree and 4+ years related professional work experience developing data-driven fraud strategies, leveraging analytical insights to detect patterns, assess risk, and design scalable solutions to combat fraudulent activity. Proven experience working with large datasets, with strong proficiency in SQL, Python/ R and any data visualization tools. Skilled in conducting deep analytical investigations and solving complex problems, with a solid understanding of machine learning techniques and statistical concepts. Experience evaluating and integrating third-party data vendors to enhance fraud detection capabilities and strengthen risk signaling. Ability to translate data-driven insights into relevant stories and make decisions even if the data ambiguous. Strong understanding of payment systems and e-commerce platforms, with hands-on experience designing and analyzing A/B tests to evaluate and optimize product and risk strategies. Proven ability to lead projects individually and mentor other junior data scientists. Excellent analytical, problem-solving, and decision-making skills. Strong communication skills, both written and verbal, with the ability to present complex information clearly to senior leadership. Ability to work collaboratively with cross-functional teams and external partners. Strong organizational skills and attention to detail. Competencies: Analytical Thinking: Strong analytical skills to assess complex information, identify trends, and make data-driven decisions. Communication: Excellent communication skills to effectively interact with internal and external stakeholders and present findings to senior leadership. Problem-Solving: Proactive approach to identifying issues and implementing effective solutions. Collaboration: Strong ability to work collaboratively with cross-functional teams and external partners to achieve common goals. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 - PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ************ paypalbenefits. com. The US national annual pay range for this role is $123,500 to $212,850 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ************ paypalbenefits. com. Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal. com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Affinaquest powers colleges, universities, athletic departments, and academic medical centers to unlock their data potential. Offering innovative CRM software native to the Salesforce platform, a proprietary Customer Data Platform (CDP), and advanced analytics, Affinaquest equips clients to be the architects of their success-surfacing opportunities for increased and more personal engagement, resulting in meaningful revenue growth. The approach to innovation isn't about reinventing the wheel-it's about transforming it. This is the quest for affinity: driving lasting relationships that shape the future of advancement and athletics. KEY FACTS * Market-leading Salesforce ISV in Institutional Advancement and Collegiate Athletics * The preferred next-gen Advancement solution of the "Top 300" fundraising institutions * 15+ years in data warehousing, data quality, lifecycle hygiene, analytics, and CRM POSITION DESCRIPTION SUMMARY Affinaquest seeks a data scientist to join our Product Engineering team. In this role, you'll work on our Client Data Platform (CDP) and analytics platform, applying machine learning and software engineering practices to empower institutions in fundraising and athletic operations. Affinaquest analyzes client data to uncover actionable insights that drive our clients' missions forward. You'll work with Azure Machine Learning, Snowflake, dbt, Python, and Airflow to enhance our data stack and evolve our machine learning outputs from our current supervised learning models and predictive analytics to emerging unsupervised and prescriptive analytics. Affinaquest is looking for someone with a strong software engineering background, fluent in modern tooling and open frameworks, who will collaborate with Product Engineering peers and client innovation partners to shape our platform's evolution and deliver value to clients. A passion for technical curiosity for uncovering hidden metrics, fresh statistical insights, and untapped value within data. In this role, you'll have a heavy hand in the architecture, processes, and tools behind machine learning and data analytics initiatives, delivering predictive models and backend data discovery processes that pave the way for future modeling. Working closely with Product Leaders and Data Engineers, you'll ensure your models offer accurate, actionable insights, while actively participating in Scrum ceremonies to refine user stories and acceptance criteria. KEY RELATIONSHIPS Reports to: Sr Manager of Product Engineering Other key relationships: Product Leaders and the Product Delivery Team Requirements MANDATORY QUALIFICATIONS TO APPLY * BS degree in data science, computer science, engineering, or equivalent experience * 5+ years' experience with software development best practices including unit testing and code review processes. * 3+ years' experience in data manipulation within SQL. * 2+ years' experience in model selection, validation, and model performance metrics. * Pragmatic approach to problem solving which prioritizes delivering working solutions to real problems. * Strong understanding of the full lifecycle of model development. * Demonstrated history of solving impactful business problems using statistics, machine learning, and data analysis. * US-Based PRIMARY RESPONSIBILITIES AND ACTIVITIES INCLUDE * Utilize Azure Machine Learning, including Automated ML, for model prototyping. * Utilize Airflow for workflow automation and orchestration of data pipelines. * Perform data warehousing functions within Snowflake and transform data using dbt. * Serve as the subject matter expert in Python and the evolving data science stack-from core libraries like Pandas, NumPy, and Scikit-learn to advanced frameworks like XGBoost and emerging alternatives to drive continuous model innovation and optimization. * Implement MLOps practices to streamline the deployment and management of machine learning models. * Develop and evolve machine learning models, initially focusing on supervised learning and progressively incorporating unsupervised and prescriptive analysis techniques. * Collaborate with internal stakeholders and clients to understand business requirements and deliver data-driven solutions. * Communicate results and insights to stakeholders through clear, end-user-oriented reports and presentations. * Drive innovation and contribute to our client's success with impactful data science solutions. IDEAL ATTRIBUTES AND PROVEN CAPIBILITIES * Azure Machine Learning experience * Snowflake, dbt, and/or Airflow experience * Experience with delivering predictive models and scores for advancement/fundraising and/or ticketing data * Experience in fundraising, donor management, or advancement analytics. * Technical curiosity for uncovering hidden metrics and statistical insights. You enjoy understanding the data and finding meaningful, related, untapped value from the data. * Experience with time series forecasting * Causal modeling over observational data * Tableau dashboards and KPI tracking POSITION LOCATION * Corporate Headquarters (ASU SkySong, Scottsdale, AZ) * Hybrid Office Policy: Employees near an office must be there on Tuesday, Wednesday, and Thursday to foster community and engagement. TRAVEL REQUIRED * None Affinaquest is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Salary Description $150,000- $160,000

Job Description Job Title: Data Scientist (Healthcare AI) Location: Scottsdale, AZ (Hybrid 3 days Onsite), $80K to $130K, must be authorized to work in USA, no visa sponsorship available Company Overview: Lifekind Health is a leading provider of transdisciplinary pain management patient care and is launching Savas Software AI-enabled next generation healthcare software. We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology. Position Overview: Are you passionate about building data-driven solutions that can directly impact patient care? Join our Data Science team, where we leverage cutting-edge analytics and machine learning solutions to improve how healthcare is delivered. We’re looking for a curious and motivated Data Scientist to analyze clinical data, craft features, experiment with algorithms, and create initial prediction models. You will play a key role in designing and deploying our PAS.ai platform features that support clinical decision-making and operational efficiency. Key Responsibilities Data Analysis · Collaborate with clinical experts to interpret and analyze EHR, imaging, and procedural data · Exploratory Data Analysis: visualize patterns in procedural outcomes, identify biases, outliers, and imbalanced data · Identify key variables (e.g., comorbidities, previous procedures, medications) · Translate clinical procedural guidelines and appropriateness criteria into data logic. Data Acquisition & Data Quality · Data Collection: Acquire raw data from various sources and define data extraction and data mapping specs · Use basic NLP techniques to structure clinical notes: tokenization, entity extraction, etc. · Data Cleaning and Preparation: Ensuring data quality through preprocessing, transformation, and normalization. Feature Engineering · Transform raw clinical data into usable model features · Derive new variables (e.g., chronicity of pain, prior treatment attempts, risk scores) · Study feature relevance and recommend optimal features Predictive Models · Build and test ML models (e.g. XGBoost regression, decision trees) · Validate model output relevance and fairness · Evaluate with appropriate metrics including confidence scores, and SHAP (SHapley Additive ex Planations) and LIME (Local Interpretable Model-agnostic Explanations) · Provide feedback on model interpretation and usability. Visualizations · Translate technical findings into actionable insights through reports and visualizations · Document findings and present insights to stakeholders. Qualifications · 4 years’ experience in data science with a proven track record of building and delivering impactful data-driven products · Experience with building and testing predictive ML models using one or more of the following: regression, tree-based algorithms, time series analysis, cluster analysis, classification, or neural networks · Strong experience with Python and SQL for data manipulation, analysis, and model development, with advanced knowledge of databases and data representation, and handling unstructured data · Knowledge of Python libraries (especially Pandas, PyTorch, scikit-learn, TensorFlow) · Excellent analytical, problem-solving, and communication skills · Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a related field. Preferred Skills · Experience with Healthcare AI · Experience with Visualization using Python libraries (Matplotlib, Seaborn) and/or Power BI · Exposure to Explainable AI (XAI), LIME and SHAP for model interpretability · Exposure to NLP What Sets Us Apart: Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us. Benefits: 401(k) Health, Dental, Vision insurance (PPO - 90% paid by employer) Flexible Spending Account Life insurance Paid time off 5 PAID holidays Schedule: Day shift Monday to Friday 8AM - 5PM Location: Scottsdale, AZ Work setting: Hybrid

**A Day in the Life:** At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to: + Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time. + Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively. + Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends. + Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards. We anticipate the salary to start around 160K; commensurate with experience. What You Will Do: + Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation). + Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services. + Cross validating production models to ensure high performance and generalizability + Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management + Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs. + Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics. + Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create. + Provide technical leadership to more junior Data Scientist team members. What We are Looking For: + 5-8 years hands-on experience in a data science role + 5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) + 5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment) + Demonstrated experience using machine learning to drive a business impact + Strong experience with statistical analysis, statistical modeling, and machine learning techniques + Experience mentoring and supporting development of more junior scientists + Experience in a ML or data scientist role with a technology company + Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science + Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science What You'll Get: + Up to 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Title: Data Scientist Department: Baseball Operations Reporting to: Assistant GM, Baseball Development & Technology Job Classification: Full-time, Exempt Full-time Location (City, State): Mesa, AZ About the A's: The A's are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A's are known for pioneering the "Moneyball" approach to team-building, which focuses on using statistical analysis to identify undervalued players. In addition to their success on the field, the A's also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports. The A's are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A's offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment. Description: The A's are hiring for a full-time Data Scientist for the Baseball Operations Department. The Data Scientist will construct statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong experience in statistics, data analytics, and computer science. This position is primarily based out of Mesa, AZ. Responsibilities: Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization. Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation. Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations. Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research. Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs. Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences. Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement. Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment. Requirements: Master's degree in Mathematics, Statistics, Computer Science, or a related quantitative field; PhD preferred. Proficiency in SQL, R, Python, or other similar programming languages. Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques. Proven experience productionizing machine learning models in cloud environments. Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences. Demonstrated ability to independently design, implement, and present rigorous quantitative research. Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies. Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression. Previous experience in sports analytics, ideally baseball, is a plus. Familiarity with integrating biomechanical data into analytical frameworks. The A's diversity statement: Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering - on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we've created a workforce in which every team member has the tools to reach their full potential. Equal Opportunity Consideration: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure. 2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives. 3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams. 4. Drive execution through fast iteration. 5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps. 6. Drive efficient data exploration and modeling. 7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies. 8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. 9. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 10. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following: 11. 1. Quantative Analysis 12. 2. A/B Testing and Research Design 13. 3. Statistical Modeling 14. 4. Data Mining 15. 5. Data Visualization and Storytelling 16. 6. SQL 17. 7. Python. **Public Compensation:** $221,024/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Java Full Stack Developer (Job Code: J2EE) 3 to 10 years of experience developing web based applications in Java/J2EE technologies Knowledge of RDBMS and NoSQL data stores and polyglot persistence (Oracle, MongoDB etc.) Knowledge of event sourcing and distributed message systems (Kafka, RabbitMQ) AngularJS, React, Backbone or other client-side MVC experience Experience with JavaScript build tools and dependency management (npm, bower, grunt, gulp) Experience creating responsive designs (Bootstrap, mobile, etc.) Experience with unit and automation testing (Jasmine, Protractor, JUnit) Expert knowledge of build tools and dependency management (gradle, maven) Knowledge of Domain Driven Design concepts and microservices Participate in software design and development using modern Java and web technology stack. Should be proficient in Spring boot and Angular Sound understanding of Microservices architecture Good understanding of event driven architecture Experience building Web Services (REST/SOAP) Experience in writing©Junit Good to have experience in TDD Expert in developing highly responsive web application using Angular4 or above Good Knowledge of HTML/HTML5/CSS, JavaScript/AJAX, and XML Good understanding of SQL and relational databases and NO SQL databases Familiarity with design patterns and should be able to design small to medium complexity modules independently Experience with Agile or similar development methodologies Experience with a versioning system (e.g., CVS/SVN/Git) Experience with agile development methodologies including TDD, Scrum and Kanban Strong verbal communications, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, belief in teamwork Collaborating with product owners, stakeholders and potentially globally distributed teams Work cross-functional in an Agile environment Excellent problem-solving, organizational and analytical skills Qualification : BE / B.Tech / MCA / ME / M.Tech **************************** TESt Shift 9 hrs Test Budget 5 hrs

Job Title: Junior Data Scientist - Multi-Agent Systems, Analytics, and Insights Seniority Level: Intern to Junior Industry: AI and Healthcare SaaS Employment Type: Full-time Mission Transform the way patients and providers communicate through intelligent, data-driven systems. 2025 Goal Support one million patients with real-time AI-powered communication and operational insight. About Peerlogic Peerlogic is redefining front office operations for dental and veterinary practices. Our conversational AI assistant, Aimee, turns every call into a revenue opportunity. We are building the most intelligent patient engagement platform in healthcare-and we're looking for builders who want to help ship high-impact product features powered by data. Role Overview We're hiring a Junior Data Scientist to join our multi-agent systems and product analytics team. This is a product-oriented role-not research-focused-where you'll build features, monitor system performance, recommend improvements, and collaborate with engineering in an agile, fast-paced environment. You'll use data to improve how our AI agents work and scale across thousands of practices. What You Will Own • Build and enhance product features based on LangGraph multi-agent orchestration • Monitor system performance and behavior in production • Investigate and triage bugs or regressions through data analysis • Recommend improvements and automation opportunities • Collaborate with engineers, designers, and product managers in an agile product team • Focus on delivering high-quality, reliable solutions that impact real users Requirements • Master's degree in Data Science, Computer Science, AI, or related field preferred • Equivalent hands-on experience in applied analytics or data-driven product work also considered • Strong Python skills (pandas, NumPy, seaborn, matplotlib); working knowledge of SQL • Comfortable working with production data, debugging with metrics, and making actionable recommendations • Experience with agile development and cross-functional collaboration • Familiarity with LangGraph, LangChain, or AI orchestration tools is a plus • Exceptional communication and a bias toward execution and product delivery Why Peerlogic • Work on real features that ship into production and improve patient experiences • In-office mentorship, fast feedback loops, and close collaboration with senior talent • Competitive compensation and equity • Defined salary progression at 3, 6, and 12 months

We are seeking a highly motivated and experienced Data Scientist to join our analytics and optimization team. In this role, you will bring tremendous innovation to the retail industry by building and delivering the next generation of transformative price management solutions. You should demonstrate the ability to model and analyze large-scale datasets and exhibit strong systematic thinking and detail-oriented skills to assure the integrity of various solutions. You will support the development, implementation, and maintenance of pricing optimization solutions using Python, SQL, and applied statistical techniques. The ideal candidate will be able to independently analyze data, interpret business problems, and build scalable tools and workflows to support pricing decisions. You will work closely with cross-functional teams to design scalable solutions, interpret complex data, and deliver impactful recommendations. Key Responsibilities Develop and deploy models and algorithms for data analysis, price image analysis, and optimization. Conduct end-to-end data analysis, including data analysis, transformation, and performance evaluation. Lead ongoing development and maintenance of optimization pipelines, including coding in Python, testing outputs, and debugging issues. Evaluate the effectiveness of deployed solutions using updated data and provide insights and recommendations as business needs evolve. Proactively analyze new business questions, conduct research and exploratory data analysis, and implement tailored solutions. Engage with cross-functional team members (e.g., ETL, Backend) to translate business requirements into robust, production-ready solutions and ensure system integration. Effective collaboration with the APP team to incorporate newly developed features into the client-facing tool. Document methodologies, assumptions, and results for both internal knowledge sharing and non-technical stakeholders. Qualifications Advanced degree (M.S. or Ph.D.) in Engineering, Math, Finance, Computer Science, Physics or equivalent industry experience as a project leader 3+ years of experience in large-scale data analysis and modeling Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn. Experience writing efficient SQL queries and working with large relational databases. Solid understanding of statistical inference, predictive modeling, and data visualization principles. Strong communication skills with the ability to explain technical concepts clearly. Excellent problem-solving skills and critical thinking; ability to derive actionable insights from complex data. Ability to work independently, manage multiple priorities, and thrive in a fast-paced team environment.

Job Description You could be a data scientist anywhere. Why us? Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) Disrupt a massive market and take us to a $10B business in the next few years Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: Bachelor’s degree in a quantitatively or intellectually rigorous discipline 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis High level of comfort with SQL or Python Who you are: You have a framework for problem solving and live by first principles You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists. Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership. As a dedicated Data Scientist Lead, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. The person will use database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, expanding the company's library of internal packages and applications. The incumbent will work with model risk management to validate the results and stability of models before being pushed to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC or Tampa, FL. Relocation assistance is available for this position. What you'll do: * Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business. * Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives. * Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. * Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. * Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts. * Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data. * Assists team with translating business request(s) into specific analytical questions, driving analysis and/or modeling, and presenting outcomes to non-technical business colleagues with a focus on business action and recommendations. * Leads project portfolio achievements, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. * Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. * Interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. * Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other social skills. * Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. * Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis. * 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. * 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. * Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity). * Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. * Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. * Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. * Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. * Project management experience that demonstrates the ability to anticipate and appropriately lead project achievements, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. * Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. * Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. * Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. * Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. * A consistent track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). * Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: * Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches. * Extensive hands-on experience preparing data and code for modeling. * Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring. * Experience working directly with clients, customers, or internal business partners. * Experience leading client or customer relationships and expectations, including senior leadership. Compensation range: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 9/15/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Affinaquest powers colleges, universities, athletic departments, and academic medical centers to unlock their data potential. Offering innovative CRM software native to the Salesforce platform, a proprietary Customer Data Platform (CDP), and advanced analytics, Affinaquest equips clients to be the architects of their success-surfacing opportunities for increased and more personal engagement, resulting in meaningful revenue growth. The approach to innovation isn't about reinventing the wheel-it's about transforming it. This is the quest for affinity: driving lasting relationships that shape the future of advancement and athletics. KEY FACTS • Market-leading Salesforce ISV in Institutional Advancement and Collegiate Athletics • The preferred next-gen Advancement solution of the “Top 300” fundraising institutions • 15+ years in data warehousing, data quality, lifecycle hygiene, analytics, and CRM POSITION DESCRIPTION SUMMARY Affinaquest seeks a data scientist to join our Product Engineering team. In this role, you'll work on our Client Data Platform (CDP) and analytics platform, applying machine learning and software engineering practices to empower institutions in fundraising and athletic operations. Affinaquest analyzes client data to uncover actionable insights that drive our clients' missions forward. You'll work with Azure Machine Learning, Snowflake, dbt, Python, and Airflow to enhance our data stack and evolve our machine learning outputs from our current supervised learning models and predictive analytics to emerging unsupervised and prescriptive analytics. Affinaquest is looking for someone with a strong software engineering background, fluent in modern tooling and open frameworks, who will collaborate with Product Engineering peers and client innovation partners to shape our platform's evolution and deliver value to clients. A passion for technical curiosity for uncovering hidden metrics, fresh statistical insights, and untapped value within data. In this role, you'll have a heavy hand in the architecture, processes, and tools behind machine learning and data analytics initiatives, delivering predictive models and backend data discovery processes that pave the way for future modeling. Working closely with Product Leaders and Data Engineers, you'll ensure your models offer accurate, actionable insights, while actively participating in Scrum ceremonies to refine user stories and acceptance criteria. KEY RELATIONSHIPS Reports to: Sr Manager of Product Engineering Other key relationships: Product Leaders and the Product Delivery Team Requirements MANDATORY QUALIFICATIONS TO APPLY BS degree in data science, computer science, engineering, or equivalent experience 5+ years' experience with software development best practices including unit testing and code review processes. 3+ years' experience in data manipulation within SQL. 2+ years' experience in model selection, validation, and model performance metrics. Pragmatic approach to problem solving which prioritizes delivering working solutions to real problems. Strong understanding of the full lifecycle of model development. Demonstrated history of solving impactful business problems using statistics, machine learning, and data analysis. US-Based PRIMARY RESPONSIBILITIES AND ACTIVITIES INCLUDE Utilize Azure Machine Learning, including Automated ML, for model prototyping. Utilize Airflow for workflow automation and orchestration of data pipelines. Perform data warehousing functions within Snowflake and transform data using dbt. Serve as the subject matter expert in Python and the evolving data science stack-from core libraries like Pandas, NumPy, and Scikit-learn to advanced frameworks like XGBoost and emerging alternatives to drive continuous model innovation and optimization. Implement MLOps practices to streamline the deployment and management of machine learning models. Develop and evolve machine learning models, initially focusing on supervised learning and progressively incorporating unsupervised and prescriptive analysis techniques. Collaborate with internal stakeholders and clients to understand business requirements and deliver data-driven solutions. Communicate results and insights to stakeholders through clear, end-user-oriented reports and presentations. Drive innovation and contribute to our client's success with impactful data science solutions. IDEAL ATTRIBUTES AND PROVEN CAPIBILITIES Azure Machine Learning experience Snowflake, dbt, and/or Airflow experience Experience with delivering predictive models and scores for advancement/fundraising and/or ticketing data Experience in fundraising, donor management, or advancement analytics. Technical curiosity for uncovering hidden metrics and statistical insights. You enjoy understanding the data and finding meaningful, related, untapped value from the data. Experience with time series forecasting Causal modeling over observational data Tableau dashboards and KPI tracking POSITION LOCATION Corporate Headquarters ( ASU SkySong, Scottsdale, AZ ) - Hybrid Office Policy: Employees near an office must be there on Tuesday, Wednesday, and Thursday to foster community and engagement. TRAVEL REQUIRED None Affinaquest is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Salary Description $150,000- $160,000

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 9. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The individual will: Come up with risk requirements for product initiatives and prioritize said requirements with partner teams (Knowledge, skills, abilities, experience required to perform job) 2-5 years of experience in payments at an issuer, network, processor, or consultancy. Preference for card network experience. BA/BS from a four-year college or university. MBA a plus. Proven track record of driving results in a fast-paced and constantly changing environment Good understanding of the applicable laws and regulations that can influence risk and fraud management policy Knowledge and understanding of payment systems, bank credit/fraud policies, structures and operations in relation to card programs Energetic, creative and able to deliver innovative solutions. Must handle multiple priorities with a strong attention to detail and should possess strong analytic and problem solving skills. Excellent written, verbal, and presentation skills. Demonstrated ability to establish strategic vision and drive change to achieve business objectives Strong interpersonal skills and ability to build relationships and influence at all levels of management Experience working externally with third parties who support mission critical processes and deliverables Thorough knowledge of product segmentations, credit/fraud loss activities and key business drivers Hands on experience with portfolio performance monitoring and diagnostics SQL / SAS / Hadoop a plus to query ad-hoc risk performance data. Subsidiary:

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Director of Fraud Transaction Data Science will lead the development and implementation of advanced analytical models to predict, detect, and mitigate fraud losses stemming from a wide range of banking transactions. This includes credit and debit card transactions, checks, deposits, and digital money movement activities such as wire transfers, ACH payments, and Zelle transactions for USAA Bank. This critical leadership role will lead all aspects of a team of approximately 16 data scientist and external contractors, providing technical guidance, mentorship, and strategic direction. The Director will be a key partner with fraud operations, technology, and business stakeholders to drive innovation and continuously improve fraud prevention capabilities. The key responsibilities of this leader will be to: * Develop and continuously update transaction models to mitigate fraud losses and negative member experience from fraud * Closely partner with Strategies team, Fraud Model Management and Model Users on model builds and priorities * Collaborate with Technology and other key stakeholders to deploy tools vital for model execution, and integrate new data sources for models to augment predictive power and improve business performance * Drive continuous innovation in modeling efforts including advanced techniques like Generative AI * Coach and mentor the team, establishing a culture of R&D and learning to augment the day-to-day aspects of the job * Support ad-hoc analytics requests from Financial Crimes leadership to investigate emerging threats, assess the impact of fraud events, and inform strategic decision-making We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: * Acts as advanced analytics leader with vision and advisor to the business to craft strategies that drive competitiveness and differentiation. * Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. * Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. * Identifies, scopes, and manages sophisticated analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. * Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. * Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. * Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. * Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. * Builds and leads all aspects of a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. * Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. * 3 years of direct management experience. * Strong interpersonal skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. * Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. * Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. * Demonstrated ability to apply standard methodologies in modeling and machine learning techniques to solve business problems. * Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. * A strong track record of presenting results, insights, and technical solutions to Senior Executive Management (or equivalent). * Deep technical skills, consulting experience, and business savvy to collaborate with all levels and disciplines within the organization. What sets you apart: * Advanced degree (Master's or Ph.D.) in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is highly preferred, or equivalent experience demonstrating strong quantitative and analytical skills * 10+ years of experience in data science or analytics, with a focus on fraud prevention or risk management * 5+ years of experience leading and managing a team of data scientists or analysts * Proven track record of developing and implementing successful machine learning models for fraud detection. Deep understanding of neural networks, ensemble learning, and Generative AI techniques is a plus * Strong programming skills in languages such as Python, R, or Java * Experience working with large datasets and distributed computing platforms (e.g.,Hadoop, Spark, Snowflake) * Excellent communication, presentation, organization and interpersonal skills * Deep understanding of banking operations and payment systems * US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $189,370 - $340,860. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Requirements MANDATORY QUALIFICATIONS TO APPLY BS degree in data science, computer science, engineering, or equivalent experience 5+ years' experience with software development best practices including unit testing and code review processes. 3+ years' experience in data manipulation within SQL. 2+ years' experience in model selection, validation, and model performance metrics. Pragmatic approach to problem solving which prioritizes delivering working solutions to real problems. Strong understanding of the full lifecycle of model development. Demonstrated history of solving impactful business problems using statistics, machine learning, and data analysis. US-Based PRIMARY RESPONSIBILITIES AND ACTIVITIES INCLUDE Utilize Azure Machine Learning, including Automated ML, for model prototyping. Utilize Airflow for workflow automation and orchestration of data pipelines. Perform data warehousing functions within Snowflake and transform data using dbt. Serve as the subject matter expert in Python and the evolving data science stack-from core libraries like Pandas, NumPy, and Scikit-learn to advanced frameworks like XGBoost and emerging alternatives to drive continuous model innovation and optimization. Implement MLOps practices to streamline the deployment and management of machine learning models. Develop and evolve machine learning models, initially focusing on supervised learning and progressively incorporating unsupervised and prescriptive analysis techniques. Collaborate with internal stakeholders and clients to understand business requirements and deliver data-driven solutions. Communicate results and insights to stakeholders through clear, end-user-oriented reports and presentations. Drive innovation and contribute to our client's success with impactful data science solutions. IDEAL ATTRIBUTES AND PROVEN CAPIBILITIES Azure Machine Learning experience Snowflake, dbt, and/or Airflow experience Experience with delivering predictive models and scores for advancement/fundraising and/or ticketing data Experience in fundraising, donor management, or advancement analytics. Technical curiosity for uncovering hidden metrics and statistical insights. You enjoy understanding the data and finding meaningful, related, untapped value from the data. Experience with time series forecasting Causal modeling over observational data Tableau dashboards and KPI tracking POSITION LOCATION Corporate Headquarters ( ASU SkySong, Scottsdale, AZ ) - Hybrid Office Policy: Employees near an office must be there on Tuesday, Wednesday, and Thursday to foster community and engagement. TRAVEL REQUIRED None Affinaquest is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Salary Description $150,000- $160,000