Data Scientist jobs in Walnut Creek, CA

Job Description This position is posted by Jobgether on behalf of SandboxAQ. We are currently looking for a Head of Data Science/ML – AQMed in Palo Alto, CA. This leadership role offers the opportunity to shape the future of medical diagnostics by spearheading AI-powered innovations that directly impact patient outcomes. As the Head of Data Science/ML, you will lead the development of user-centric, scalable data products derived from proprietary sensing technologies. You'll work cross-functionally with Product and Engineering to drive strategic initiatives and bring transformative medical tools to market. This is a hands-on leadership position for a results-driven professional with a passion for healthcare innovation and real-world impact. Accountabilities: Collaborate with Product and Engineering to define and execute the data product vision and roadmap, incorporating ML capabilities where beneficial. Lead the Data Science/ML team in designing, developing, and scaling data products that convert clinical signals into actionable insights. Translate user needs, clinical feedback, and business objectives into clear technical requirements and prototypes through iterative development. Establish and track OKRs for the DS/ML function, ensuring timely delivery, scalability, and performance of solutions in production environments. Balance fast-paced execution with high standards in research, keeping up with cutting-edge ML techniques and their real-world applicability. Serve as a key representative of the organization to clinical, regulatory, and industry partners; elevate the team’s profile through publications, conferences, and external collaborations. Mentor and grow a high-performing, multidisciplinary data science team while fostering a culture of innovation and collaboration. Requirements 10+ years of experience in engineering and product leadership roles, including hands-on development and managing technical teams. Advanced degree (MS/PhD) in engineering, computer science, AI/ML, mathematics, or a related field. Proven success delivering AI-driven medical software or data products from concept to commercialization (stages 0-4+). Strong ability to communicate technical strategies and outcomes at the executive level and across cross-functional teams. Demonstrated success in leading multidisciplinary teams with a user-first approach, balancing clinical needs, business goals, and technical feasibility. Action-oriented mindset, capable of driving innovation while navigating time-sensitive product development cycles. Willingness and ability to work onsite at the Palo Alto office at least 50% of the time. Nice to Have: Experience in cardiovascular devices or deep knowledge of cardiac electrophysiology. Familiarity with regulatory and quality standards in medical device development. Benefits Competitive base salary between $204,000 – $286,000 annually, based on experience and qualifications. Annual discretionary bonuses and potential equity options. Comprehensive health coverage (medical, dental, vision). Paid time off including summer/winter breaks and generous leave policies. 401(k) plans and financial wellness resources. Fertility and family planning benefits. Opportunities for continuous learning and professional development. A collaborative, inclusive, and mission-driven culture at the forefront of AI and healthcare innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit *********************** ID.me is looking for a Data Scientist to help pioneer the Data Science function with the company, and to drive Data Science for Marketing and Lifecycle Communications. By filling this role, ID.me will be equipped to manage the growing complexity of data interactions and member expectations effectively. The Data Scientist V will play a critical role in enhancing the security, usability, and personalization of the ID.me platform, driving increased satisfaction and engagement among members and partners. This position will be pivotal in transforming ID.me into a trusted, centralized service for identity and data management across the digital landscape. Responsibilities Data Analysis and Integration: Analyze large datasets to understand patterns and trends in member behavior and data accuracy. Develop algorithms and models to integrate member data seamlessly across various platforms, ensuring data integrity and relevance in real-time during member authentication processes. Machine Learning and Predictive Modeling: Design and deploy machine learning models to predict member data changes, such as address or contact information updates. Use predictive analytics to anticipate member needs and reduce friction in updating and authorizing data across multiple platforms. Data Quality Assurance: Implement robust data validation and cleansing techniques to ensure the accuracy and quality of data used across the network. Continuously monitor data quality metrics and develop automated systems to correct inconsistencies and errors in real-time. Profile Management Innovation: Lead initiatives to create dynamic member profiles that align with various use cases and contexts, enhancing personalization and relevance of data. Work closely with the UX team to integrate these profiles into partner authentication screens and ID.me's own interfaces effectively. Cross-functional Collaboration: Collaborate with technical teams, product managers, and business stakeholders to enhance the ID.me platform's functionality, focusing on data governance and the secure sharing of sensitive information. Ensure that all data handling complies with relevant regulations and ethical standards. Data Governance and Strategy: Develop and oversee data governance policies that support scalable, secure, and efficient data operations. Advise on the strategic use of data and analytics to drive business decisions and improve the member experience. Data Governance and Strategy Translate insights into narratives that enable marketing investment decisions at the executive level. Marketing and Lifecycle-Specific Responsibilities Campaign and Channel Analytics: Analyze performance across paid, owned, and earned channels, providing funnel analysis (impressions → leads → conversions), channel ROI metrics (CPC, CPL, LTV), and real-time dashboards to guide tactical optimization. Audience Insights and Segmentation: Use behavioral and demographic data to construct audience segments, journey maps, and high-value member personas to inform campaign targeting and personalized communications. Forecasting and Target-Setting: Utilize historical performance, market benchmarks, and predictive modeling to forecast campaign and channel outcomes and inform goal-setting processes. Experimentation and Optimization: Design and evaluate A/B tests and multivariate experiments to refine messaging, creative, and media mix; guide the Marketing team in data-driven optimization loops. Churn and Retention Analytics: Build models that identify at-risk members and recommend interventions to increase lifecycle retention and re-engagement. Marketing Mix Modeling: Support budgeting and planning by quantifying the relative impact of various channels and tactics on business outcomes. Basic Qualifications 7+ years of hands-on experience in data science for a SaaS company or a mature startup BS/MS in Data Science or a related quantitative or scientific field 3+ years of experience working with SQL and Python. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range$164,000—$219,000 USDMountain View, CA Pay Range$194,000—$242,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through advanced digital solutions. Since its founding in 2006, Sajix has specialized in developing integrated healthcare information systems that streamline clinical, financial, and administrative operations for healthcare organizations around the world. With operations in the United States, United Kingdom, Singapore, and India, Sajix serves clients across North America, Europe, Asia, and Africa. Its flagship platform, iHelix, is a modular, scalable solution designed for use in diverse healthcare settings—from single-doctor practices to large hospital networks. Sajix offers a comprehensive suite of digital healthcare solutions, including: iHelix Lifeeazy AI-based Revenue Cycle Management – optimizing financial workflows through automation All products are built with global standards in mind, supporting multiple languages and currencies, and comply with international healthcare regulations such as CCR and CCD. Through strategic partnerships and a commitment to innovation, Sajix continues to lead the industry in delivering intelligent, interoperable, and patient-centric healthcare solutions. Website: ************* Job Description About the Role: As a Trainee Data Scientist at Sajix, you will assist in building predictive models and running experiments to derive insights from complex healthcare data. Key Responsibilities: Assist in cleaning and preprocessing structured and unstructured data. Support the development of statistical and machine learning models. Participate in exploratory data analysis and feature engineering. Document findings and present insights to non-technical stakeholders. Qualifications Requirements: Bachelor’s or Master’s in Computer Science, Statistics, or Data Science. Basic knowledge of Python/R and libraries like Pandas, Scikit-learn, or NumPy. Understanding of statistics, probability, and machine learning fundamentals. Additional Information These trainee roles are offered in collaboration with Sajix’s __init__py program—a structured, hands-on learning initiative aimed at nurturing the next generation of full-stack developers and technology professionals. The program offers tiered training tracks. Participants gain real-world experience through live projects, personalized mentorship, and exposure to industry-relevant tools and practices. This collaboration ensures that trainees are well-equipped with practical skills and knowledge to excel in their roles. For more information about the __init__py program, visit initpy.sajix.com.

Job Description Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are looking for a Data Scientist for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You’ll Do: Master understanding of various claims payment policies and healthcare concepts. Build and improve the models by thoughtfully curating data and creating features. Precisely measure and improve model performance against real-world outcomes. Make operational recommendations to the customer to optimize model results. Interpret and refine large-scale data created by complex business workflows. Advance the team’s capabilities by improving pipelines, infrastructure, and tools. What You’ll Bring: Several years of experience solving real-world business problems with data and ML modeling Proven ability to make team-level contributions and develop frameworks and tools to improve the work of many Able to build a high-level, strategic work plan while keeping attention to detail Experience precisely measuring and optimizing the business impact of your work Experience handling large-scale, complex data which may not be clean or well-defined Experience writing production-quality code (i.e. building pipelines, productionizing models) and overcoming practical challenges to deploy a model Deep curiosity about healthcare The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is $180-200k. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Job Description Our client is an international tech company that is building a platform that will be instrumental in the ever-changing AI landscape. They are seeking a Data Scientist to join their growing team. Your role will mainly focus on analyzing behavioral and conversational data, while also working cross-functionally with product and engineering teams to use that data to improve a new AI product you'd be working on. Location: Onsite in Santa Clara, CA Term: Full time, Direct Hire Desired Qualification: 5+ years of experience as a Data Scientist 2+ years of exp with Python or R programming languages Experience with SQL Experience with quant research and working on an AI product preferred

Job Description Grupago uses AI to scale small business credit and payments worldwide. Around the developing world, the vast majority of the economy is driven by small, often informal micro-businesses. These businesses have been ignored both by banks and fintechs, given the challenges to underwrite and serve. We use AI to bring both business credit and payments to micro-businesses across the globe – starting with Latin America. We launched a credit card in Mexico last year, have thousands of customers, recently launched a small business loan product, and are expanding into payments this year. Our vision is to use AI to automate every part of our business – from acquisition, to underwriting, to credit line upgrades, to collections – in order to serve millions of micro-businesses around the world in a scalable and profitable way. Our team is run by a very small (currently 8 person) team of extremely talented, mission-driven, data focused engineers and business leaders – including a CEO/co-founder who is a successful former VC and multi-exit fintech founder, and team members with decades of combined experience at leading fintechs across the US and Mexico. We are backed by top venture investors across the US and Mexico, and have raised over $6M in venture capital. This role will include a competitive salary, bonus, and equity compensation. Responsibilities We are looking to hire an experienced Data Scientist & Machine Learning Engineer. Specifically, the role will include leading: Machine Learning engineering – directly add features to and continuously refine and improve our machine learning models Agentic systems buildout – oversee the buildout of agentic systems across our business (from acquisition to customer service and collections) Data analytics – running key analyses to help inform the business on metrics like profitability, customer segment / risk profiling, funnel and acquisition cost metrics The role will entail working closely with the co-founder and CEO, who is also technical and experienced in data science (though you will be primarily responsible for leading the function). Requirements The ideal candidate will have the following skills: 5-10+ years proven experience (with strong recommendations) directly building and optimizing machine learning models – ideally related to consumer credit risk (micro-business loans, credit cards, etc.) Highly experienced in SQL, Python, and key machine learning and data science libraries and analytical tools Ideally – fluent in Spanish (though this is a nice to have) Experience working in and thriving in a highly entrepreneurial early stage startup The role will be based in Silicon Valley and will be hybrid – requiring working in-office (San Mateo location) approximately 2-3 days per week. Benefits Benefits In addition to working at an early stage fast moving startup - you will qualify for equity (stock option grants), competitive compensation and any bonuses, paid time off and holidays. Learn more Learn more at ************** or in English (****************************

Job DescriptionAbout Weee! Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch. Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing. This role is onsite 5 days a week in Fremont, CAAbout the role We're looking for a data scientist to support our personalization initiative. This role will leverage the latest machine learning techniques to create a personalized experience to better serve the needs of Weee!'s customers. Responsibilities: Apply advanced knowledge of SQL and the ability to build complex modeling features Build machine learning models that leverage our unique data sources to recommend optimal product, offer, content, and information Build end-to-end infrastructure from exploring your data, designing, deploying, testing, to monitoring your own models Help identify new opportunities by applying machine learning and statistical models for improved business outcomes Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems Qualifications MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, math, statistics, or physics 2+ years of experience in developing and deploying machine learning or deep learning models in a professional setting Domains of expertise should include at least one of the following: collaborative filtering, content based recommender systems, link-click prediction, predictive customer targeting Advanced SQL skills Ability to work in a fast-paced start-up environment and deliver excellent results Strong communication skills, and ability to work with multiple stakeholders Benefits Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages 401k, 4% company match Equity and Bonus Vacation, sick and holiday time off Monthly mobile stipend Monthly Weee! Points credits Compensation Range The US base salary range for this full-time position is $100,000 - $130000 This role may be eligible to discretionary bonus, incentives and benefits Our salary ranges are determined by role, level, and location The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements. Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com. For more jobs and to find out more about Weee!, visit our career page: ********************************* Softbank Vision Funds

Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

Job Description About Us DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview The Solution Data Scientist (Fraud & AML) will be part of our Professional Service team, reporting to our Chief Solution Architect and VP Professional Services. You will lead various types of technical projects e.g. fraud attack pattern study, risk strategy development, data pipeline and platform configuration, and machine learning model evaluation. Such projects may span both pre-sales and post-sales engagements with DataVisor clients. You will drive the internal engagement with Customer Success, ML Model, Product and Engineering teams to deliver fraud and AML solutions and custom platform configuration that bring business impacts to our clients and generate revenue for DataVisor. You are a big believer and proficient user of GenAI tools e.g. ChatGPT to perform data analysis tasks 10x more efficiently than before. Key Responsibilities Business Problem Discovery: Discover and understand the client’s business logic and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome. Data Integration and Quality Check: Lead technical discussions with clients’ risk business teams (Fraud and AML) and data team to ensure high quality and comprehensive data is provided. Own the data transfers and data quality validation. Risk Pattern Analyses and Strategies: Leverage your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations. Solution Design and Configurations: Design and configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients. ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption. Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables. Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders. Requirements Experience: 4+ years of experience in Fraud and/or AML strategies or models 2+ years of experience in client-facing data analytic projects Technical Skills: Domain knowledge in Fraud and AML use cases in financial services industry Proficient in SQL queries with complex joining and layered logics Familiarity with data streaming/processing e.g. REST API, Kafka, SFTP, Hadoop Familiarity with Python, R, and Java is a plus Proficient in LLM tools e.g. ChatGPT to research new business problems Soft Skills: Excellent communication, presentation, and interpersonal skills Strong problem-solving mindset and results-driven mindset Strong mindset of documentation and automation with AI tools/agents Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously Education: Bachelor’s degree in a technical or analytical discipline e.g. Data Science, Statistics, Computer Science Benefits Why Join Us? Opportunity to work on impactful projects that protect businesses from risk loss Collaborate with a diverse and talented team of experts in AI and machine learning Enjoy a flexible, supportive work environment with opportunities for professional growth Competitive compensation and benefits package Stock options, Medical insurance, 401K, PTO

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.

Job DescriptionDescriptionThe Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. This individual will work on Aligns digital clinical database to develop and deliver data-driven insights, metrics, and recommendations to assist teams to drive the company’s product development roadmap and transform the orthodontic world with the Invisalign product. Role expectations Apply advanced data analytics to derive insights from production data and clinical studies and contribute to product development projects Work on full-stack data analysis: Defining problems, data collection through SQL queries, data cleaning & wrangling, exploratory & confirmatory analyses, data visualization and storytelling Responsible for constructing technical hypotheses, performing statistical analyses, and interpreting analysis results to support data-driven decision making for product development Identify key insights from analytical results, prepare well-documented reports/presentations and share with internal/external stakeholders Work collaboratively and independently in the design, analysis, and interpretation of prospective and retrospective clinical studies Participate in the review and update of bench-top testing best practice methodologies, including design of experiment, and statistical significance of results in support of product research team Develop a comprehensive understanding of the Invisalign products and operational procedures Provide product/clinical analytics expertise within the R&D group, including product engineering, materials, software, and clinical research teams Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally Work efficiently in a fast-paced environment to meet critical deadlines and priority changes What we're looking for MS or PhD in data analytics, statistics, biostatistics, computer science, mathematics, or related technical field 3+ years of relevant industrial experience in data analytics and modeling. An appropriate combination of education, skills, and experience can be substituted for total years Experience with querying relational databases (e.g. SQL) Experience with scripting languages such as R or Python Experience with machine learning techniques and algorithms Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical audiences and interact cross-functionally with both technical and non-technical people Desired: Dental, medical device or pharmaceutical industry experience preferred Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate’s pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

Job Description#TeamNextdoor Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make As a Data Scientist on the Core Product and Engagement team, you will partner with Analytics Engineers to execute CP data foundation roadmaps, collaborate with our cross-functional teams to develop and execute key ecosystem roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team. We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will exhibit technical acumen, product sense and business savviness and be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your responsibilities will include: Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team Build scalable metrics and dashboards to inform product strategy Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises Build in-person relationships with team members and contribute to Nextdoor's company culture What You'll Bring To The Team 7+ years of data science and product analytics experience BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python Experience in designing trustworthy experimentation and analyzing complex product a/b testing results Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports Experience developing and executing on key ecosystems, understanding roadmaps, and building new capabilities (e.g., customer segment framework) Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives and compile compelling narratives Ability to solve ambiguous business problems with structured analytics framework Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for San Francisco, CA area is expected to range from $160,000 to $215,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Senior Data Scientist who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience: 7+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects Track record of successfully deploying ML/AI systems in production environments Experience working with enterprise customers and understanding their unique requirements Technical Skills Required: Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures API development expertise (FastAPI) and production deployment experience Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills Preferred: Infrastructure & Deployment Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines Experience with observability and monitoring of LLM applications Proficiency in model compression, distillation, and deployment at scale Model Development & LLMs Expertise in semantic search and embedding models Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI?Projects You'll Work On: Advanced AI Agent Architecture: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals. Large-Scale RAG Systems: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases. Model Optimization & Deployment: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance. Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration. Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact: Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation. Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools. Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices. Open Source Contribution: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community. Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems. What We Offer Competitive salary and equity Base Salary Range: $135,000 - $210,000 [influenced by your expertise, how the interview goes, and how well you match the role] Equity: 0.05% - 0.4% Access to cutting-edge AI infrastructure and resources Team offsite and opportunities to attend and present at leading industry conferences (across the world) Learning budget for AI courses, books, and computing resources Dynamic and intellectually stimulating work environment with a team of talented engineers Opportunities to shape the direction of the company and leave a lasting impact

We are seeking an experienced Staff Data Scientist to join our Walmart eCommerce Product Analytics team. As a member of our team, you will be responsible for developing and executing data-driven strategies to improve our eCommerce product offerings and customer experience. What You'll Do Use statistical modeling and machine learning techniques to analyze large and complex data sets to solve business problems and identify new opportunities Drive experimentation for Walmart eCommerce products. Collaborate with cross-functional teams including engineering, UX design, product management, and business analytics to develop data-driven insights and recommendations Develop and maintain a deep understanding of our customers, products, and business operations to inform data-driven decisions - Manage, mentor, and lead a team of data scientists to ensure high-quality work and growth opportunities for team members Lead multiple projects and domains Preferred Qualification: Masters or equivalent degree in Statistics, Mathematics, Computer Science, or a related field 6+ years of experience in a data science or analytics role, with proven experience in developing statistical models and algorithms to drive business impact 4+ years of A/B testing experience Demonstrated expertise in machine learning, optimization, and experimentation techniques Strong programming skills, especially in Python or R, and familiarity with big data tools and technologies such as Hadoop and Spark Excellent communication skills with the ability to translate complex analytical concepts to non-technical stakeholders We offer competitive salaries, comprehensive benefits, and a vibrant and collaborative work environment to help you achieve your career goals. Join us in our mission to provide customers with the best possible eCommerce experience and shape the future of retail! Live our Values Culture Champion• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance. Servant Leadership • Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace Change Curiosity & Courage • Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change • Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Deliver for the Customer Customer Focus • Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans. Strategic Thinking • Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy. Focus on our Associates Diversity, Equity & Inclusion • Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team. Collaboration & Influence • Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action. Talent Management • Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

Prompt Engineering Expertise: Demonstrated ability to craft and iterate prompts for LLMs and multimodal systems to achieve targeted behaviors or outputs. Data Analysis Skills: Experience using basic data science techniques (e.g., Python, SQL, pandas) to analyze model behavior or quality metrics. Quality Review Mindset: Familiarity with evaluating AI-generated outputs against quality standards (e.g., accuracy, safety, diversity, bias). Prior hands-on experience in analyzing the output of large generative models like GPT-4, Gemini, or Claude. Exposure to annotation workflows or evaluation pipelines in a research or production setting. Background in UX research, technical writing, or human-computer interaction is a plus. Experience working with model reviews is a bonus.

Since 2010 Synergisticit has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries. please check the below links to see success outcomes, salaries of our candidates . ************************************************* ***************************************************************************************** We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 ************************************************** ************************************************** /> ************************************************** ************************************************** ************************************************** ************************************************** All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We want Data Science/Machine learning/Data Analyst and Java Full stack candidates For data Science/Machine learning Positions REQUIRED SKILLS Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience Excellent written and verbal communication skills If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Hiring Organization: Rose International 485369 Industry: IT Company Job Title: Data Engineer Work Model: Onsite Shift: 9 AM - 6 PM Employment Type: Temporary FT/PT: Full-Time Estimated Duration (In months): 8 Min Hourly Rate ($): 60.10 Max Hourly Rate ($): 60.10 Must Have Skills/Attributes: Acoustics Engineering, Airflow, AWS, Python, Pytorch, Spark Experience Desired: Deep learning frameworks (e.g., PyTorch, TensorFlow) for audio modeling. (2 yrs); Python data engineering frameworks (e.g., Airflow, Apache Beam, Spark (2 yrs) Required Minimum Education: Bachelor's Degree Job Description Education: • Bachelor's or master's degree in computer science, Electrical Engineering, Acoustics, or a related field. Skills: • Strong experience with audio signal processing libraries (e.g., Librosa, PyDub, SciPy, torchaudio). • Proficient in Python and relevant data engineering frameworks (e.g., Airflow, Apache Beam, Spark). • Experience working with large-scale data pipelines and cloud infrastructure. • Familiarity with machine learning workflows, especially in audio or time-series domains. • Understanding of acoustic features and formats (e.g., WAV, FLAC, sampling rates). • Strong knowledge of databases, data storage formats (e.g., Parquet, HDF5), and data management tools. Preferred Skills: • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for audio modeling. • Knowledge of acoustic modeling, speech recognition, or sound classification. • Experience with edge deployment and real-time audio processing. • Familiarity with tools like Weights & Biases, MLflow, or DVC for ML operations. Key Responsibilities • Design, build, and maintain scalable and efficient data pipelines for processing large-scale audio and acoustic datasets. • Collaborate with ML researchers and acoustic scientists to collect, annotate, transform, and curate high-quality training and evaluation datasets. • Implement signal processing algorithms for feature extraction • Work on real-time and batch processing frameworks for streaming and static audio data. • Support model training and evaluation through optimized data loaders and preprocessing steps. • Ensure data quality, versioning, and reproducibility using best practices in data engineering. • Deploy and maintain cloud-based infrastructure for data workflows (e.g., AWS, GCP, Azure). • Develop tools for data visualization and annotation specific to acoustic events. **Only those lawfully authorized to work in the designated country associated with the position will be considered. ** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements. ** Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website. California Pay Equity: For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role The Customer Analytics Team at Gap Inc. applies data analysis and statistical modeling techniques to drive business benefits for Gap Inc. and its brands. The team's focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include digital analytics, customer behaviors, forecasting, incrementality and causal inference. You will support the team to build and deploy Data and Analytics capabilities and actionable insights, in partnership with GapTech, PDM, Central Marketing & business partners across our brands. What You'll Do * Synthesize and story tell data to deliver actionable insights across functions. Present compelling data stories (verbal and slide format) to varying levels of stakeholders, including executive leadership. * Build cross functional partnerships and consensus, and influence strategy of domain areas. * Manipulate large amounts of data across a diverse set of subject areas (digital, customer, inventory, marketing, etc.) and develop statistical models and analysis to uncover actionable insights and trends. * Collaborate with other data scientists and data engineers to prepare and automate data pipelines from multiple disparate sources for analysis and modeling. * Develop compelling visualizations that support actionable insights and produce decks and presentations that are executive-ready. * Build repeatable solutions that can identify trends and insights on a regular cadence. * Mentor more junior team members and grow the technical and data storytelling skillsets of the team. Who You Are * Have strong business acumen and understanding of retail business drivers. * Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change. Have strong verbal and written communication skills, and able to present to senior executives. * Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building. * Have experience using Adobe Analytics suite to uncovering digital experience trends and insights. * Have advanced proficiency using SQL for efficient manipulation of large datasets in on-prem and cloud-distributed computing environments, such as Azure environments * Have proficiency in Python, Spark, and common scripting languages for E2E pipeline. * Have experience using causal inference methods to measure incrementality and estimate causal effects. * Have experience with supervised and unsupervised learning ML techniques, visualization packages, and a track record for creating business impact with these methods. * Ability to work in ambiguous and complex situations and analyze data to make judgments and recommend solutions. * A track record of being a self-starter who can execute and drive roadmaps. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $174,400 - $231,200 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are seeking a talented and driven individual to accelerate our efforts and contribute to LinkedIn's data-centric culture. In this role, you will tackle a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. Responsibilities - Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. - Analyze large-scale structured and unstructured data. - Develop methodologies to enhance LinkedIn's operations and platform capabilities. - Apply technical expertise to our forecasting and capacity planning process to seek opportunities of improvement - Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. - Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. - Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. - Initiate and drive projects to completion independently. - Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. - Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. - Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. - 5+ years of industry or relevant academia experience - Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) - Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: - 7+ years of industry or relevant academia experience - MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. or other quantitative field. - Experience in infrastructure planning, operations research, or a related field - Familiarity with cloud computing platforms and infrastructure management systems. Suggested Skills - Statistical Modeling - Forecasting - Programming - Data Analysis - Infrastructure Planning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************