Data Scientist, Product Analytics

META; City Of London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Meta is seeking a Data Scientist for Product Analytics to shape data-driven product strategies across Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will partner with Product, Engineering, Research, and Sales to define metrics, design experiments, and translate insights into actions, impacting billions of users and businesses worldwide.

You will apply rigorous quantitative methods, develop hypotheses, and communicate clear, data-driven recommendations to stakeholders.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
• 4+ years of experience with SQL, Python, and/or R.
• 4+ years solving analytical problems using quantitative approaches and leading data-driven projects.

Responsibilities

• Defining new opportunities for product impact, influencing product and sales to solve market problems.
• Apply expertise in quantitative analysis and data presentation to understand how users interact with growth products.
• Partner with Product, Engineering and cross-functional teams to inform and execute product decisions and launches.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's degree in Mathematics, Statistics, or related field

Job description

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 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 a 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.

Data Scientist, Product Analytics Responsibilities

• Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
• Apply your expertise in quantitative analysis and the presentation of data to go beyond the numbers and understand how our users interact with our growth products
• Work as a key member of the product team to solve problems and identify trends and opportunities
• Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
• Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
• Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics

Minimum Qualifications

• 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 [including defining metrics, experiment design, and communicating actionable insights]

Preferred Qualifications

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity 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. You may view our Equal Employment Opportunity notice here.

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