Data Scientist, Product Analytics

Meta; London; On-site; GBP 50,000 - 90,000

Job description

Data Scientist, Product Analytics

Location: London, UK

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. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Responsibilities

• Defining new opportunities for product impact and influencing product and sales to solve the most impactful market problems.
• Applying your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products.
• Working as a key member of the product team to solve problems and identify trends and opportunities.
• Informing, influencing, supporting, and executing our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams.
• Setting KPIs and goals, designing and evaluating experiments, monitoring key product metrics, and understanding root causes of changes in metrics.
• Conducting exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends while identifying levers to help move key metrics.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
• 4+ years 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 (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. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [e-mail].