Data Science Manager, Analytics – Messenger Privacy & Trust
Company Name:-
Facebook
Job Location:-
Menlo Park, CA 94025
Job Summary:-
Messengers mission is to be a universal way for people to connect and be closer together.
Were looking for an experienced analytics leader to ensure Messenger achieves that mission by building trust in the platform and protecting user data.
This work is urgent and complex: our over 1 billion users should have the confidence that the platform they use to connect with loved ones is keeping their data safe.
Earning that confidence will require product development around end-to-end encryption, message ephemerality, and other new privacy-centric features.
The ideal candidate for this role will be excited about working collaboratively with a talented & driven team of cross-functional partners including engineers, product managers, and designers to ensure privacy-focused features achieve their promise in a measurable way.
They will lead and grow a team of world-class analytics professionals, partner with privacy & integrity leaders across the broader Facebook ecosystem, and hold a high bar for analytic excellence.
This is a high visibility role, and so they will be comfortable communicating with peers & leaders at all levels.
Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship.
Set goals and metrics to guide and prioritize growth product roadmaps.
Conduct analytics studies to identify new product opportunities and shape product strategy.
Size opportunities to ensure product teams are working on the most impactful projects.
Partner and heavily contribute to major analytical and product initiatives across the Facebook Family of Apps (Facebook, Instagram, WhatsApp, Messenger, etc.
).
Serve as part of the core leadership team for Instagram Growth with direct accountability for the success and health of this organization.
Bachelors in a quantitative field (Economics, Computer Science, Physics).
7+ years of experience in Product Data Science and/or Growth Analytics, including in depth experience with experimentation.
5+ years experience in building high-performing data science and analytics teams, including managing managers.
Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods.
Proven judgment in balan
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