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Data Science Manager, Analytics

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.
Data
Staff Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS
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Description For Data Science Manager, Analytics

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, Marketing, Sales, Finance and others. You will influence 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.

Key responsibilities include:

  • Product leadership: Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development.
  • Analytics: Guide product teams using data and insights, developing hypotheses and employing diverse analytical approaches.
  • Communication and influence: Tell data-driven stories to convince and influence leaders using clear insights and recommendations.
  • People leadership: Inspire, lead, and grow a world-class team of data scientists.

You will lead a team to develop strategies for Meta's products, drive analytics projects end-to-end, influence product direction through presentations to senior leadership, work with large and complex data sets, identify and measure product success, define and test opportunities to improve products, and contribute to advancing the Data Science discipline at Meta.

Last updated 8 months ago

Responsibilities For Data Science Manager, Analytics

  • Lead a team of data scientists to develop strategies for Meta's products
  • Drive analytics projects end-to-end in partnership with cross-functional teams
  • Influence product direction through clear and compelling presentations to senior leadership
  • Work with large and complex data sets to solve challenging problems
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring key metrics
  • Define, understand, and test opportunities to improve products
  • Contribute to advancing the Data Science discipline at Meta

Requirements For Data Science Manager, Analytics

Python
  • Bachelor's degree or equivalent practical experience (must be completed prior to joining Meta)
  • Minimum 4 years of work experience (2 years with a Ph.D.) in applied analytics
  • Minimum 2 years of experience managing analytics teams
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Experience initiating and completing analytical projects with minimal guidance
  • Experience communicating results of analysis to senior leadership

Benefits For Data Science Manager, Analytics

  • Equal Employment Opportunity
  • Accommodations for disabilities and religious beliefs
  • E-Verify program participation

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