Data Science Manager, Monetization

Lensa; Menlo Park (CA); On-site; USD 206,000 - 281,000; Full time

Job summary

Meta is seeking a Data Science Manager to lead analytics projects and drive product strategy. This role combines data-driven storytelling with team leadership, focusing on complex data sets to inform, influence, and execute strategic decisions. Ideal candidates will have a robust analytical background and proven experience in managing data science teams.

Qualifications

• Minimum 7 years of work experience, including 3+ years with a Ph.D.
• Experience managing analytics teams and communicating strategies.
• Familiarity with complex distributed systems and data sets.

Responsibilities

• Drive analytics projects end-to-end in collaboration with cross-functional teams.
• Lead and grow a team of data scientists, fulfilling longer-term vision.
• Communicate insights and influence product strategy and investment decisions.

Skills

Analytical skills

Leadership

Project management

Education

BS degree in a quantitative discipline

MS or Ph.D. in a quantitative field

Job description

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Summary

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in 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 influence product strategy and investment decisions with data, be focused on impact, and lead and grow a productive and impact-oriented team. By joining Meta, you will become part of a driven analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a broad 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 leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.

Required Skills

Data Science Manager, Monetization Responsibilities:

• Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions.
• Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
• Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
• Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
• Work with large and complex data sets to solve a wide array of complex problems using different analytical and statistical approaches.
• Grow analytics skills around you, upskilling your team, engineers, and others, to increase overall team impact.
  
  

Minimum Qualifications

Minimum Qualifications:

• BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
• A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams
• 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
• Experience communicating both in low-level technical details as well as high-level strategies
• Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
• Experience with driving product roadmap and execution
  
  

Preferred Qualifications

Preferred Qualifications:

• Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups.
• 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space
• A minimum of 2 years of experience working on consumer facing products
  
  

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 [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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