Data Scientist, Product Analytics
Description For Data Scientist, Product Analytics
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around 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 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.
Key responsibilities include:
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Product leadership: Shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta.
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Analytics: Guide teams using data and insights, develop hypotheses, and employ diverse analytical approaches to test them.
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Communication and influence: Tell data-driven stories, convince and influence partners using clear insights and recommendations.
Join Meta's world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Responsibilities For Data Scientist, Product Analytics
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Requirements For Data Scientist, Product Analytics
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 2 years of work experience in quantitative analysis (minimum of 1 year with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- A minimum of 2 years experience leading product analytics and influencing product roadmap
- A minimum of 2 years experience designing and running A/B tests
- Experience understanding ecosystems, user behaviors and long-term product trends
- Core statistical knowledge
- Proven experience leading data-driven projects from definition to execution
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