As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products across our family of applications. By applying your technical skills, analytical mindset, and product intuition, you will help define experiences for billions of people and hundreds of millions of businesses. You will collaborate with 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 challenges, influence product strategy and investment decisions with data, and collaborate with other teams. You will join a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Overview
You will use data to shape product development, quantify opportunities, identify upcoming challenges, and ensure products bring value to people, businesses, and Meta. You will help partner teams prioritize what to build, set goals, and understand their product ecosystem. You will guide teams using data and insights, develop hypotheses, and employ a varied toolkit of analytical approaches to test them. You will tell data-driven stories, convince and influence partners with clear insights and recommendations, and build credibility as a trusted strategic partner.
Responsibilities
* 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 that serve billions of people and hundreds of millions of businesses
* Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
* Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
* Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Minimum Qualifications
* Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
* 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
* 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment design, and communicating actionable insights]
Preferred Qualifications
* Master's or Ph.D. Degree in a quantitative field
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who build their careers with us help shape a future that goes beyond digital connection today.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base rate only and do not include bonus, equity, or incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Seniority level
* Not Applicable
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Technology, Information and Internet
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