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

Menlo Park, CA New York, NY
USD 206k - 281k
Machine Learning
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Description
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.
Data Science Tech Lead Manager (TLM), People Data Platform Responsibilities
  • 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
  • Inspire, lead a team of data scientists to fulfill our longer term vision.
  • 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
  • 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 challenging problems using different analytical and statistical approaches. Abstract technical details into business and analytics impacts.
  • Communication layer for leadership and across-org stakeholders
Minimum Qualifications
  • Experience communicating both in low-level technical details as well as high-level strategies.
  • 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.
  • 5+ years of experience in a team leadership role
  • Track-record driving product roadmap, execution and leadership communication
  • Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.
  • A minimum of 2 years of experience working on modeling/applied machine learning
Preferred Qualifications
  • Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
  • Proven track record of leading high-performing analytics teams.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$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. Learn more about benefits at Meta.


Equal Employment Opportunity and Affirmative Action
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. You may view our Equal Employment Opportunity notice here.

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.
Meta
Meta
Augmented Reality Metaverse Social Media Social Network Virtual Reality

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