[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.
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
Skills
- 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 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
Benefits
- Bonus
- Equity
- Benefits
Company Overview
Company H1B Sponsorship