Meta
Data Scientist, Gen AI
Meta, Menlo Park, California, United States, 94029
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. Your core role will be to influence the long-term strategy of the organization, helping product and engineering understand where to invest and focus. You will use data and analysis to identify and solve product development’s biggest challenges. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Our Team
This role is on the AI Social Experiences team within the GenAI org. Our team develops a suite of products that use new advancements in generative AI to enhance how Meta users socialize, play, learn, and connect on the platform. Some of our popular products are AI Studio (just launching now), Imagine, MEmu, and many more in development.Responsibilities
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.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.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.Compensation
$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, 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.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.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.Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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.
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This role is on the AI Social Experiences team within the GenAI org. Our team develops a suite of products that use new advancements in generative AI to enhance how Meta users socialize, play, learn, and connect on the platform. Some of our popular products are AI Studio (just launching now), Imagine, MEmu, and many more in development.Responsibilities
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.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.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.Compensation
$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, 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.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.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.Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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.
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