FreshRemote.Work

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

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
Minimum Qualifications
  • 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]
Preferred Qualifications
  • Master's or Ph.D. Degree in a quantitative field
For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$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

Regions

North America

Countries

United States

Benefits/Perks

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
Skills

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

Experience

4+ years

Education

Analytics 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

Timezones

America/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