Data Scientist (Technical Leadership)

Skip to main content Data Scientist (Technical Leadership) Meta Sunnyvale, CA Apply Join or sign in to find your next job Join to apply for the Data Scientist (Technical Leadership) role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Data Scientist (Technical Leadership) Meta Sunnyvale, CA 4 days ago Be among the first 25 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Data Scientist (Technical Leadership) role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $210,000.00/yr - $281,000.00/yr Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.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 varied 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...