Meta
Data Scientist, Analytics (Technical Leadership)
$210K–$281K
Sunnyvale, CA +10 · Remote · Full-time · Posted Jun 10, 2025
- Location
- Sunnyvale, CA
Los Angeles, CA
Bellevue, WA
Austin, TX
Menlo Park, CA
Seattle, WA
New York, NY
San Francisco, CA
Fremont, CA
Mountain View, CA
Remote, US - Experience
- 5+ years with data querying, scripting, or statistical/mathematical software; 8+ years leading analytics work; 10+ years in product analytics and communicating analysis to leadership.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; the posting also lists a Bachelor’s degree in an analytical or scientific field and a Master’s or Ph.D. in a quantitative field.
About the job
Leads product analytics work, using quantitative analysis and experimentation to shape product strategy, measure outcomes, and guide cross-functional decisions.
What you'll do
- Analyze complex data and apply quantitative methods, experimentation, and data mining to inform product strategy.
- Set goals and success metrics, forecast outcomes, and monitor performance; support roadmaps and coordinate analytics across teams.
- Partner with cross-functional teams and executives on product decisions, data platforms, instrumentation, and communicating recommendations.
What they ask for
- 8+ years leading analytics work in an individual-contributor capacity and guiding data-informed product planning and strategy.
- 10+ years in product analytics and communicating analysis results to leadership teams to influence strategy.
- 5+ years using data querying languages, scripting languages, or statistical/mathematical software.
- Experience with predictive modeling, machine learning, experimentation/causal inference, and complex cross-functional analytics projects.
Nice to have
- Masters or Ph.D. degree in a quantitative field.
- Demonstrated AI skill development, responsible AI practices, and use of AI tools to improve workflows.
Pay
$210,000/year to $281,000/year USD base salary
Tools
SQL, Python, R, SAS, Matlab
AI focus
Integrate AI tools to optimize or redesign workflows and deliver measurable impact; apply responsible AI practices and continue developing skills such as prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative