Data Scientist, Product Analytics

On Site Full TimeLondon, England, United KingdomMeta

Role Overview

Meta is seeking a Data Scientist to drive product strategy and decision-making across our family of applications. You will apply advanced quantitative analysis, statistical modeling, and data-driven storytelling to shape how billions of people experience our products.

What You Will Do

You will work with large and complex data sets to solve challenging problems using different analytical and statistical approaches, and partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Why It Might Be a Fit

You will identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics, and drive roadmaps through your insights and recommendations.

Requirements

  • Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent
  • 4+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • 4+ 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

To apply for this job please visit metacareers.com.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Get the full Role Intel for this job

ReLoop.me’s full Role Intel shows the real level behind the title, an estimated pay range, a must-have checklist and the questions to ask before you apply.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!