FreshRemote.Work

Data Scientist, Monetization

Remote, US | Menlo Park, CA

As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, 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.

The Core Ads Growth (CAG) team is responsible for growing Meta’s revenue through high-performing advertiser products. This includes horizontal core delivery capabilities across Targeting, Optimization, Bidding, Budget, Auction, Ads Quality, Creatives, and Guidance, as well as a dedicated Verticals & Countries teams for Ecomm, App & Gaming, Retail, CPG, Travel, Auto, and Special Countries. In this role, you'll be responsible for driving CAG-wide efforts that span across key priorities including Automation, Value, Product Growth, and Creative.

Product leadership: You will use data to shape 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 diverse 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, Monetization 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 Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 7+ 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 working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills
  • Intellectual curiosity and drive, decisiveness, with ambiguity and complexity
Preferred Qualifications
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods.
LocationsAbout 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. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $206,000/year to $281,000/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 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. Apply

Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Tasks
  • Apply technical expertise with quantitative analysis
  • Communication
  • Data mining
  • Develop strategies for products serving billions of people
  • Drive roadmaps through insights and recommendations
  • Identify and measure success of product efforts
  • Inform and execute product strategy and investment decisions
  • Partner with Product, Engineering, and cross-functional teams
  • Product Strategy
  • Quantitative analysis
  • Solve challenging problems using analytical and statistical approaches
  • Work with large and complex data sets
Skills

Automation Communication Computer Science Data analysis Data engineering Data Mining Developing Engineering Finance Forecasting Leadership Machine Learning Modeling Monitoring Optimization Predictive Modeling Product Development Product Strategy Quantitative analysis Recruiting Research Technical Technical Expertise

Experience

7+ years

Education

Analytics Bachelor Bachelor's degree Bachelor's degree in Computer Science Computer Engineering Computer Science Engineering Equivalent practical experience Finance Or equivalent practical experience Physics Planning Relevant 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