Data Science Director

Skip to main content Data Science Director Meta Bellevue, WA Apply Join or sign in to find your next job Join to apply for the Data Science Director 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 Science Director Meta Bellevue, WA 1 week ago 32 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 Science Director 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 $253,000.00/yr - $314,000.00/yr We're looking for a seasoned analytics leader to drive data-informed product and business decisions across a portfolio of platforms that make our products personal, trustworthy, well-crafted, communicative, and usable by anyone, anywhere. You will play a critical role as the first dedicated analytics leader for this organization, inheriting a small, senior Data Science team and building the function around it. You will also lead Data Science for our AI-powered Product Marketing initiative. You will be a strategic partner to product and engineering leadership — shaping the questions worth asking, delivering rigorous analyses, and using data to drive change in products, strategies, and organizations.Data Science Director Responsibilities:Define the Data Science operating model across a portfolio of platforms — deciding what the team should look like at each stage of scale and where to invest across diverse problem spaces including growth/personalization, social good, design craft, communications, and globalization.Partner with leadership teams across product, engineering, and go-to-market organizations to build and strengthen a data-inspired culture, bringing innovative data insights into the key decisions for product success.Inspire, lead, and grow a globally distributed team of data scientists, setting the hiring bar, standards, and culture for analytical rigor.Own measurement and experimentation strategy at scale — holdouts, incrementality, and topline attribution across platforms driving tens of millions of incremental users.Lead the measurement and evaluation flywheel for AI-powered marketing initiatives, including quality rubrics, golden-set evals,...