Data Science Tech Lead Manager (TLM), People Data Platform

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 diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, and others. You will participate in product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. About the role: Your primary focus will be on driving impact through establishing platform solutions on how people data inferences should be deployed across Family of Apps and making product decisions according to model constraints. Meanwhile, you will set direction for the team with focused execution on continuous model improvement and measurement investment.

Required Skills:

Data Science Tech Lead Manager (TLM), People Data Platform Responsibilities:

1. Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, support, and execute product strategy and investment decisions

2. Inspire, lead a team of data scientists to fulfill our longer term vision.

3. Actively collaborates on 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

4. Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.

5. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Abstract technical details into business and analytics impacts.

6. Communication layer for leadership and across-org stakeholders

Minimum Qualifications:

Minimum Qualifications

1. Experience communicating both in low-level technical details as well as high-level strategies.

2. A minimum of 8 years of work experience (4+ years with a Ph.D.) in applied quantitative field, including a minimum of 4 years of experience managing analytics teams.

3. 5+ years of experience in a team leadership role

4. Track-record driving product roadmap, execution and leadership communication

5. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.

6. A minimum of 2 years of experience working on modeling/applied machine learning

Preferred Qualifications:

Preferred Qualifications

1. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.

2. Proven track record of leading high-performing analytics teams.

Public Compensation:

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

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 ~~~.