Data Scientist, Product Analytics
Sunnyvale, CA | Los Angeles, CA | Remote, US | Bellevue, WA | Redmond, WA | Austin, TX | Menlo Park, CA | Seattle, WA | Burlingame, CA | Washington, DC | New York, NY | San Francisco, CA | Fremont, CA
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Scientist, Product Analytics Responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
- 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
- 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
- Master's or Ph.D. Degree in a quantitative field
$145,000/year to $204,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form. Apply
Job Profile
Accommodations Benefits Bonus Career growth Equity Individual compensation Reasonable accommodations Skill development World-class analytics community
Tasks- Analyze large data sets
- Build
- Communication
- Create data-driven stories
- Define and test opportunities
- Design
- Develop
- Develop strategies
- Develop strategies for products
- Identify and measure product success
- Influence product strategy
- Lead data projects
- Monitor key metrics
- Partner with cross-functional teams
- Product Strategy
- Research
- Set goals
- Shape product development
- Solve analytical problems
- Support product roadmaps
- Test opportunities and levers
Analytical Analytics Business Color Communication Cross-functional Collaboration Data analysis Data-driven decision making Data-Driven Project Management Data-Driven Storytelling Data Ecosystem Understanding Data engineering Data interpretation Data Mining Data Modeling Data Presentation Data querying Data Strategy Data Visualization Design Developing Engineering Experimentation Finance Forecasting Frameworks Goal setting Hypothesis Testing Identity Influence Leadership Long-term Product Trends Marketing Mathematics Methodologies Metrics Monitoring Physics Presentation Procedures Product analytics Product Development Product metrics Product Strategy Python Quantitative analysis R Research Scripting Scripting Languages SQL Statistical analysis Statistics Strategy Technical Technical approaches Technical Expertise Technical Software Trend Analysis User Behavior Analysis Virtual reality
Experience4+ years
EducationAnalytics Bachelor Bachelor's Bachelor's degree Bachelor's degree in Mathematics Business Design Engineering Equivalent Finance Marketing Master Master's Master's degree Mathematics Ph.D. Physics Relevant technical field Statistics Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9