[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Sunnyvale, CA +9 more # Data Scientist, Analytics (Technical Leadership) Sunnyvale, CA +9 more Data & Analytics Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/613354727793690/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Data Scientist, Analytics (Technical Leadership) ## Job description We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. ## Responsibilities - Work with complex data sets to solve challenging problems using analytical and statistical approaches - Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies - Identify and measure success through goal setting, forecasting, and monitoring key metrics - Partner with cross-functional teams to inform and execute product strategy and investment decisions - Build long-term vision and strategy for programs and products - Collaborate with executives to define and develop data platforms and instrumentation Effectively communicate insights and recommendations to stakeholders - Define success metrics, forecast changes, and set team goals - Support developing roadmaps and coordinate analytics efforts across teams ## Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) - 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience communicating complex technical topics in a clear, precise, and actionable manner - 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy - Masters or Ph.D. Degree in a quantitative field Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) - 10+ years of experience doing complex quantitative analysis in product analytics - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 99 days - Location: Sunnyvale, CA +9 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/613354727793690/) ## More jobs at Meta Platforms ### [AI Data Center Development Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/08f3c615b73d033ed306/) Singapore ### [AI Research Scientist, Pre-training Data - MSL FAIR](https://jobs.opennash.com/companies/meta-platforms/jobs/9fb958f34362ab96fd47/) Menlo Park, CA ### [Analytics Business Partner](https://jobs.opennash.com/companies/meta-platforms/jobs/f129502b85873884f877/) Menlo Park, California, US +2 more ### [Analytics Program Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/45720f691f4924021d7e/) Menlo Park, CA ### [Area Construction Manager, Data Center](https://jobs.opennash.com/companies/meta-platforms/jobs/463104ae973b09ebdc1a/) Menlo Park, CA +1 more ## Similar jobs at other companies ### [Lead Decision Scientist - Product Analytics](https://jobs.opennash.com/companies/cvs-health/jobs/ffb68fa5485d688503db/) CVS Health · New York, NY ### [Data Analyst, Data Analytics](https://jobs.opennash.com/companies/cardinal-health/jobs/be02ecf98d1124b85367/) Cardinal Health · International ### [Data Scientist - Payments Risk Management & Data Analytics](https://jobs.opennash.com/companies/paypal/jobs/0d01a4a8c6d5c8f29d84/) PayPal · Chicago, Illinois, United States of America ### [Data Scientist - Payments Risk Management & Data analytics](https://jobs.opennash.com/companies/paypal/jobs/882a2e0ba2e879d2cab8/) PayPal · San Jose, California, United States of America ### [Lead Director - Retail Analytics Technical Product](https://jobs.opennash.com/companies/cvs-health/jobs/33ff14ce29f250034f83/) CVS Health · New York, NY [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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