Data Scientist, Monetization (Technical Leadership)

Summary:

As a Data Scientist in our Monetization organization, you will work closely with a diverse group of cross-functional partners to solve complex product and technical problems. Our advertising tools and interfaces are the primary means by which businesses interact with Meta, and they play a critical role in managing the majority of Meta's revenue.Our Monetization Orgs mission is to facilitate meaningful connections between people and businesses. We achieve this through our delivery products, ads optimization products, signals, ads ranking, ads infrastructure, and generative AI work, which touch all advertisers and all ads across all of Meta's apps, including Facebook, Instagram, WhatsApp, Messenger, and ~~~ are seeking a seasoned leader who can navigate the technical complexity of the space while also managing and supporting a broad and diverse range of stakeholders. The ideal candidate will have a proven track record of working closely with Engineering and Product leads, and a strong technical/statistical background. You will use data and analysis to identify and solve product development's biggest challenges, influence product strategy and investment decisions with data, 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.More about the role: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.

Required Skills:

Data Scientist, Monetization (Technical Leadership) Responsibilities:

1. Build analytical framework to facilitate product strategies and prioritizations.

2. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

3. 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.

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

5. Project and measure product outcome and financial implications.

6. Work closely with our engineering and product team to define and measure the quality of GenAI models.

Minimum Qualifications:

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

2. 5+ 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.

3. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance.

4. Technical knowledge in the Ads domain, and their application in consumer and business products, and intellectual curiosity for continued learning.

5. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity.

Preferred Qualifications:

Preferred Qualifications

1. LLM, GenAI research or application experience.

2. PhD in a STEM field.

3. Experience with predictive modeling, machine learning, and experimentation/causal inference methods.

Public Compensation:

$206,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at ~~~.