Meta Data Science Manager, Analytics in Boston, Massachusetts
Supply Chain Products is crafting the world's best product suite to redefine how the company runs its operations and infrastructure, empowering people at Facebook to reach unparalleled levels of productivity. Our tooling supports spend optimization, data center supply chain, and protecting Facebook from reputation and regulatory risks. From ensuring on time payments to boosting diverse and underrepresented suppliers in recommendation engines, our data science team directly impacts strategic product direction and supports a wide range of products. The ideal candidate for this role will be excited about working collaboratively with a diverse and motivated team of self-starters. We work closely with cross-functional partners including engineers, product managers, business partners, and designers to ensure our products achieve their promises in a measurable way. You will lead and grow a team of world-class analytics professionals, partner with supply chain and business leaders across the broader Facebook ecosystem, and hold a high bar for analytic excellence. This is a high visibility role scoped for growth, and so the ideal candidate will be comfortable communicating with peers & leaders at all levels.
Data Science Manager, Analytics Responsibilities:
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 Enterprise Products (Supply Chain, Financial, Knowledge, and Commerce tools).
Serve as part of the core leadership team for Enterprise Products with direct accountability for the success and health of this organization.
Bachelors in a quantitative field (Physics, Economics, Computer Science, Engineering, Mathematics, Psychology).
5+ years of experience in Product Data Science and/or Growth Analytics, including in depth experience with experimentation.
2+ 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 balancing practical business needs and scientific rigor.
Proven communication skills and experience connecting with and influencing a broad spectrum of audiences.
Proven experience forming partnerships with and influence cross-functional leaders in engineering, product, design, research, etc.
- Masters or Ph.D. in a quantitative field (Physics, Economics, Computer Science, Engineering, Mathematics, Psychology).
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at firstname.lastname@example.org.
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