Data Scientist jobs in San Francisco, CA

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.

Base pay range $125,500.00/yr - $212,800.00/yr About Us Read all the information about this opportunity carefully, then use the application button below to send your CV and application. Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About The Team Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. About The Role Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team. For this role, we're looking for an experienced product data scientist who will help develop the strategy and evaluate/improve product initiatives within our Creator product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our creators and their communities. Your input will be core to decision making across all major product strategies and initiatives that our team builds. You will work closely with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Creator organization. You Will: Inform product strategies by defining and updating core metrics for each initiative Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders Evaluate and forecast impact of product features on creators, viewers, and the entire Twitch ecosystem Design A/B experiments to drive product direction with iterative innovation and measurement Drive the team's analysis roadmap and prioritize the most valuable projects Tackle complex and ambiguous analytic projects, resolve ambiguity and accurately identify the trade-offs between speed and quality and apply or route work as necessary Dive deep into the data to understand how creator and viewer behaviors change with the evolution of our product Act as our team's thought leader on best practices and move towards long-term vision of sustainable and thriving data processes Own data collection and product instrumentation implementation and quality assurance Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty You Have: BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience 3+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Expert SQL skills and proficiency in Python/R Experience using data to create insight, drive business decisions and influence leadership Bonus Points MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field Experience in a data science team working on customer software products, analytics, and insights Experience working with software development and operational event data Familiarity with Twitch, either as a viewer or creator (or both!) Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates. Job ID: TW8654 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ****************************************** Applicants should apply via our internal or external career site. #J-18808-Ljbffr

In this role, you'll be part of a diverse and dynamic team, including health experts, software developers, and data analysts, all dedicated to transforming personal health management through technology. Please ensure you read the below overview and requirements for this employment opportunity completely. What You'll Do As a Data Scientist at Beek Health, you'll join a small, agile team focused on leveraging data to drive health technology forward. Your role will be pivotal in analyzing health data to enhance user experience and improve the effectiveness of our health monitoring platforms and apps. Your responsibilities will include: Applying statistical analysis and machine learning techniques to large health datasets. Collaborating with cross-functional teams to integrate data insights into our products. Conducting exploratory data analysis to uncover trends and patterns. Designing and implementing models to predict health outcomes and user behaviors. Communicating complex data findings in a clear, understandable manner to stakeholders. Occasionally traveling to collaborate with teams or clients on specific data-driven projects. QUALIFICATIONS Bachelor's degree in Data Science, Statistics, Computer Science, or related field; advanced degree preferred. Proven experience in data science, machine learning, and statistical analysis. Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Strong problem-solving skills and adaptability in a fast-paced environment. Excellent communication skills in English and local office language(s). #J-18808-Ljbffr

Philo: a streaming service for TV and movie lovers At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data pipeline processes nearly 8 trillion events per year into our petabyte scale data lake, where we run over 30k ETL and BI queries every day to bring data-driven insights to our team. On the Data Science team, we're looking for people who excel at deep statistical and data modeling, experimentation, and identifying actionable insights on a variety of interesting engagement, content discoverability, acquisition, and retention-related problems across our streaming service. You'll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service. In addition, you'll work with stakeholders in other departments to understand our business needs and deliver business-focused data insights to help the entire team thrive. We are passionate about problem-solving and providing data-informed insights through rigorous statistical methods, using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, Cursor, GrowthBook, Robyn, Superset, and PyTorch, as well as SaaS tools such as Segment, Redshift, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: * Building multi-touch attribution models to optimize customer lifetime value and calculate RoAS (Return on Ad Spend) * Modeling to determine which early product behaviors predict conversion and retention * Running experiments to evaluate and improve our ML-based content recommendation/personalization system * Building data models for analysis of lifecycle marketing communications impact * Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics. * Price sensitivity research and competitive market analyses. The Role Philo is looking for a Lead Data Scientist to join our team and help elevate our data science practice. This role will provide senior leadership, establish methodological rigor, and coach our data science team to deliver high-impact analytical solutions. You have strong opinions about what high-quality Data Science work looks like and are impact oriented. You can work across multiple business units and have a keen sense of how to connect Data Science outputs to organizational KPIs. Responsibilities: * Set the roadmap and model best practices for data science work at Philo * Lead complex analytical projects that drive significant business value collaborating with stakeholders in the C-Suite * Establish and evangelize methodological standards for data science work * Coach and mentor data scientists to elevate the team's technical capabilities * Collaborate with product, engineering, and business teams to identify new opportunities * Develop frameworks for measuring impact of data science initiatives * Build a culture of experimentation and continuous improvement * Represent the data science team in cross-functional leadership discussions Key Qualifications: * 10+ years of professional experience in data science/analytics with demonstrated proficiency in Python, SQL, or R and statistical modeling * 3+ years of experience leading data science teams and managing complex statistical projects * Deep expertise in statistical methods and causal inference * Strong experience in experimental design and A/B testing * Deep experience in building a robust and scalable data model as the foundation for both analysis and advanced modeling * Proven track record of delivering high-impact data science projects that scale * Experience mentoring junior data scientists and raising team capabilities * Excellent communication skills with ability to translate complex findings into business insights through effective data visualization and dashboards * Strong business acumen and ability to connect analytics to business outcomes * Experience with modern data science tools and technologies, including Python, Cursor, dbt, GrowthBook, and BI dashboarding tools Ideal Qualifications: * Experience in media/streaming industry with understanding of viewer engagement metrics and content performance analysis * Knowledge of recommendation systems and personalization algorithms using PyTorch or similar frameworks * Experience with productionizing machine learning models in cloud environments like AWS SageMaker * Familiarity with data visualization best practices and experience creating executive-level dashboards * Experience with marketing mix modeling, multi-touch attribution, and customer lifetime value optimization More about Philo At Philo, we're a company that puts people first-both our subscribers and our team. Our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. Transparency and openness are fundamental to our company culture. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo offers access to top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery, Food Network, Hallmark, HGTV, History, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, WE tv, and more, along with groundbreaking originals and blockbuster movies included with AMC+. Our service also includes 80+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 75,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a co-founder of Facebook and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote Compensation: Includes annual salary between $172K-$237K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: * Full health, dental and vision coverage for you and your family * 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) * Flexible working hours * Up to 20 weeks of fully paid parental leave * Unlimited paid time off for vacation and sick leave * $2,000 annual vacation bonus (we pay you to take a two week vacation) * $5,250 annually for professional development and educational assistance * $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) * $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) * Free Gympass subscription - an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps * Dog-friendly office * And much more! For California Residents: Philo's CCPA Notice at Collection - Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

This range is provided by ALOIS Solutions. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Increase your chances of reaching the interview stage by reading the complete and applying promptly. Base pay range $105.00/hr - $105.00/hr Duration: 12 months contract Pay rate: $105/hr on W2 This Position is on W2 only, NO C2C/H1B. Job Description: We are seeking a highly experienced SAP Data Migration Lead with over 15 years of SAP expertise, including a proven track record of leading 7+ full life-cycle data migration projects in greenfield SAP implementations. The ideal candidate will possess advanced proficiency in SAP FICO, S/4HANA, SAP MDG, and Master Data Management (MDM) across domains such as Customer, Material, Vendor, and other critical business entities. Additionally, the candidate should have significant experience in data governance, ensuring consistency, quality, and compliance throughout the migration process. Key Responsibilities: Lead and Execute Data Migration Projects: Oversee and manage the end-to-end data migration process for complex SAP landscapes, ensuring seamless and efficient transitions. SAP: Apply deep knowledge of SAP FICO, SAP S/4HANA, and SAP MDG to guide the team and stakeholders through the data migration phases. Data Governance: Implement and manage robust data governance frameworks, ensuring data accuracy, completeness, and integrity across all migration stages. Stakeholder Management: Work closely with functional and technical teams to understand business needs and ensure alignment between data migration activities and SAP business processes. Migration Methodologies & Tools: Leverage proven methodologies and tools for data extraction, transformation, and loading (ETL) within SAP environments. Education: Minimum of Bachelor's degree required Experience: Minimum 15 years of SAP experience, with at least 7 successful full life-cycle data migration projects in SAP greenfield implementations. In-depth knowledge of SAP FICO, SAP S/4HANA, SAP MDG, and MDM (including Customer, Material, Vendor domains). Proven expertise in data governance, data quality, and compliance frameworks. Strong functional understanding of SAP business processes, paired with technical proficiency in data migration methodologies. Excellent leadership, communication, and stakeholder management skills. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting and Warehousing and Storage #J-18808-Ljbffr

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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: We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud. Key Responsibilities: Develop and deploy machine learning models for fraud detection and risk assessment. Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data. Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.). Collaborate with engineering and business teams to integrate ML models into production systems. Continuously monitor model performance and refine algorithms to improve accuracy. Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies. Requirements Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus). Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.). Experience with SQL and data manipulation/analysis in large datasets. Strong problem-solving skills and patience for deep-dive data exploration. Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus. Excellent communication skills and ability to work in a collaborative environment. Nice to have Familiarity with big data tools (Spark, Hadoop, Dask). Knowledge of graph-based fraud detection techniques. Experience with cloud platforms (AWS, GCP, Azure). Benefits PTO, Stock Option, Health Benefits

Job Title: Data Scientist Contract: 6 Months Need 4 years + work experience with . Heavy deep learning AND Machine Learning AND Algorithm experience Additional Information All your information will be kept confidential according to EEO guidelines.

What you'll do: Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our Notifications strategy to address shortcomings observed through deep analysis. Develop measurement frameworks and metrics to drive data-driven decision making, optimizing for the full user journey. Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies. Thought partner to product, engineering, and ML leadership on the Notifications team to prioritize/scope projects and inform the development of the notifications user experience and corresponding ML systems. Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses. Leadership: Lead and mentor the scope of work for at least 2 other data scientists, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. Strong background in statistics, machine learning, and/or experimentation. Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams through compelling data narratives. Experience working closely with cross-functional teams, iterating on a user product via A/B experimentation. Experience leading key technical projects and substantially influencing the scope and output of others. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration1-2 times per half and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE

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: ***************************************

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.

About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI's long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making. About the Role As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market. This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making. This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. Automate standardized reporting and analysis by building data products or agentic solutions. Support product pricing and other business decisions with ad hoc analysis. Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have: MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. Proficiency in Python, SQL, Tableau, and other analytical tools. Strong analytical skills and experience working with large, complex data sets. Proven ability to distill complex data into actionable insights for leadership. Ability to independently initiate and complete projects, owning them end-to-end. Excellent communication and storytelling skills when presenting data insights. Exceptional attention to detail and a commitment to accuracy. You could be an especially great fit if: You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. You're passionate about technology and artificial intelligence. You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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 Title: Data Scientist Contract: 6 Months Need 4 years + work experience with . Heavy deep learning AND Machine Learning AND Algorithm experience Additional Information All your information will be kept confidential according to EEO guidelines.

As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who's able to partner with cross-functional leadership to quickly turn insights into actions Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4

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. We work in a mission-driven organization with complex business and social models and objectives. This role will require a strong understanding of LinkedIn's business, vision and concept of labor markets; a strong ability to examine complex data and and improve the way we work. At LinkedIn, we know that labor markets matter. When publicly available data and our data are used with intention, there is significant opportunity to better understand current dynamics and trends as well as to help individuals get jobs, increase career mobility, and unlock economic opportunity. This role will be based in either Sunnyvale, San Francisco or NYC depending on which area the candidate approved-for-hire chooses. 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. This Role: As a Labor Economist, you will use your background in economic research and analytics to advance thought leadership about how local and global trends and shocks to the macroeconomy and labor market influence job seeking behavior and outcomes. You will partner with business leaders and employ strategic thinking to inform decisions about LinkedIn's thought leadership, product development and user experience. You'll work closely with our multi-disciplinary team of researchers to identify and conduct research that influences how we create opportunity for LinkedIn's members and create value for our customers. You will oversee research projects, working with partners across Product, Engineering, Policy, and Marketing teams. You'll develop ongoing relationships with teams to help build sustainable, long-term impact. Your work will have high visibility from leadership. Responsibilities - Conduct applied labor and macroeconomic research to generate impact for our internal and external audiences. - Design, conduct, and analyze studies with high levels of technical accuracy. - Analyze large structured and/or unstructured data. - Communicate research findings to stakeholders and leadership. - Create frameworks and tools to allow more teams across the company to leverage your research. Basic Qualifications - Masters or PhD in Economics or related field ( e.g. Business, Statistics, Engineering, other cognitive sciences) or equivalent practical experience. - 6+ years of experience network economics and research methods applied to understanding how networks impact our behavior - Experience leading research and actionable output. Preferred Qualifications - Experience in analyzing labor markets and evaluating data collected and curated from multiple sources. - Experience working with data systems, coding in SQL, R and/or Python - Excellent communication and presentation skills. Able to present complex ideas simply, directly and elicit meaningful feedback. - Demonstrated ability to frame and solve problems in an objective way, and to lead others through efficient and structured methods of decision-making. - Ability to build collaborative partnerships with Product and Engineering teams. - Experience working effectively in a highly matrixed organization that is both dynamic and high-growth. Suggested Skills - Economic Research - Data Analysis, Econometrics - Communication - Collaboration - Strategic Thinking 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 $138,000.00 to $226,000.00 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: ***************************************