Data Scientist, Product Analytics

Meta Careers; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Meta is seeking a Data Scientist in London to lead product analytics for its vast portfolio of apps. You will shape analytics across the Meta family, partnering with product, engineering, research, data engineering, marketing, and sales to uncover opportunities and quantify impact.

You will develop hypotheses, employ advanced analytical approaches, and tell data-driven stories to support strategic decisions that affect billions of users and hundreds of millions of businesses worldwide.

Responsibilities

• Shape product analytics across Meta's apps using data-driven insights.
• Collaborate with product, engineering, research, and marketing teams to define success metrics.
• Tell compelling data-driven stories to influence product strategy and investment decisions.
• Develop hypotheses and apply rigorous analytical methods to test them.

Job description

# Data Scientist, Product AnalyticsLondon, UK Data Science+ 1 moreApply nowAs 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 varied 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. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.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 your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.