[Remote] Data Scientist, Analytics (Technical Leadership)

Note: The job is a remote job and is open to candidates in USA. Meta builds technologies that help people connect, find communities, and grow businesses. As a Data Scientist, you will drive impact across various product areas by collaborating with cross-functional partners to solve complex problems using data and analysis.ResponsibilitiesWork with complex data sets to solve challenging problems using analytical and statistical approachesApply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategiesIdentify and measure success through goal setting, forecasting, and monitoring key metricsPartner with cross-functional teams to inform and execute product strategy and investment decisionsBuild long-term vision and strategy for programs and productsCollaborate with executives to define and develop data platforms and instrumentationEffectively communicate insights and recommendations to stakeholdersDefine success metrics, forecast changes, and set team goalsSupport developing roadmaps and coordinate analytics efforts across teamsSkills5+ 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 developmentExperience with predictive modeling, machine learning, and experimentation/causal inference methodsExperience communicating complex technical topics in a clear, precise, and actionable manner10+ years of experience communicating the results of analyses to leadership teams to influence the strategyMasters or Ph.D. Degree in a quantitative fieldBachelor'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 analyticsDemonstrated 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 technologiesBenefitsBonusEquityBenefitsCompany OverviewMeta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 1990, and is headquartered in Aberdeen, Aberdeen City, GBR, with a workforce of 10001+ employees. Its website is http://www.metadownhole.com/.Company H1B SponsorshipMeta has a track record of offering H1B sponsorships, with 811 in 2026, 6419 in 2025, 5944 in 2024, 3874 in 2023, 5237 in 2022, 7 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.