Location
London

Hours
Full Time

Salary
Negotiable

About the Role
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products across our entire family of applications including Facebook, Instagram, Messenger, WhatsApp, and 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 experiences for billions of people and hundreds of millions of businesses globally. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and more to solve a wide array of product and business challenges. Using data and analysis, you will identify and address product development’s biggest challenges, influence product strategy and investment decisions, and focus on measurable impact. Joining Meta means becoming part of an analytics community dedicated to skill development and career growth.

Product Leadership
You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help partner teams prioritize what to build, set goals, and understand their product ecosystems.

Analytics
You will guide teams using data and insights, developing hypotheses and employing a varied toolkit of rigorous analytical approaches, methodologies, frameworks, and technical techniques to test them.

Communication and Influence
You will not only present data but tell compelling data-driven stories, convincing and influencing partners with clear insights and recommendations. Building credibility through structure and clarity, you will be a trusted strategic partner.

Key Responsibilities
- Work with large and complex data sets to solve challenging problems using analytical and statistical approaches
- Apply quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products serving billions of people and businesses
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics
- Define, understand, and test opportunities and levers to improve products 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

Experience
- 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)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact such as efficiency gains and quality improvements
- Experience adhering to and implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality and accuracy reviews
- Demonstrated ongoing AI skill development including prompt/context engineering, agent orchestration, and staying current with emerging AI technologies

About You
You are a strategic thinker with strong technical expertise and a passion for using data to influence product decisions. You thrive in collaborative environments and are skilled at communicating complex data insights clearly and persuasively. You are committed to ethical AI practices and continuous learning in a fast-evolving field.

Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a relevant technical field, or equivalent practical experience
- Master’s or Ph.D. degree in a quantitative field preferred