Data Scientist, Product Analytics

Meta builds technologies that help people connect, find communities, and grow businesses.
Data
Senior Software Engineer
Contact Company
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS

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:

  • Working with large and complex data sets to solve challenging problems using various analytical and statistical approaches.
  • Applying technical expertise with quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products serving billions of people and millions of businesses.
  • Identifying and measuring product success through goal setting, forecasting, and monitoring key metrics.
  • Defining and testing opportunities to improve products and drive roadmaps through insights and recommendations.
  • Partnering with cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Join a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Last updated 3 months ago

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

Python
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • A minimum of 6 years of work experience in analytics (minimum of 4 years 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)

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