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. The Data Scientist will use analytics, statistical analysis, experimentation, and data-driven insights to solve product and business challenges for Meta’s Ranking AI and Ads organization. The role will influence product strategy, measure product success, and partner with Product, Engineering, and cross-functional teams on investment and roadmap decisions.
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
Skills
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 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)
- Master's or Ph.D. Degree in a quantitative field
Benefits
- By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.
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