Data Scientist, Product Analytics

Our mission is to give people the power to build community and bring the world closer together.

Employee count: 5000+

United Kingdom only

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.

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 diverse 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

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum of 4 years of work experience in analytics (minimum of 2 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).

Preferred Qualifications

Masters or Ph.D. Degree in a quantitative field.

LocationsAbout 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. 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 [email protected].

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Full Time

Experience level

Mid-level

Location requirements

United Kingdom

Hiring timezones

United Kingdom +/- 0 hours

Job categories

Product Insights Data Scientist Product Analytics Lead Data Science Analyst Lead Product Analyst

Skills

SQL Toolkit WhatsApp

About Meta

Learn more about Meta and their company culture.

View company profile

Our mission is to give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas and offer support.

Our Story

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, virtual and mixed reality to help build the next evolution in social technology.

Our principles

They embody what we stand for and guide our approach to how we build technology for people and their relationships.

Give People a Voice

People deserve to be heard and to have a voice — even when that means defending the right of people we disagree with.

Build Connection and Community

Our services help people connect, and when they’re at their best, they bring people closer together.

Serve Everyone

We work to make technology accessible to everyone, and our business model is ads so our services can be free.

Keep People Safe and Protect Privacy

We have a responsibility to promote the best of what people can do together by keeping people safe and preventing harm.

Promote Economic Opportunity

Our tools level the playing field so businesses grow, create jobs and strengthen the economy.

Tech stack

Learn about the tools and technologies that Meta uses to build, market, and sell its products.

View tech stack

React Native

Django

Hydra Framework

JavaScript

Python

HTML5

Java

CSS 3

PHP

Objective-C

Hack

44 more

Meta employees can create an account to update this tech stack.

Employee benefits

Learn about the employee benefits and perks provided at Meta.

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Paid time off to vote

Up to 8 hours of paid voting time

Life insurance

Life insurance and survivor support

Financial coaching

Get access to financial coaching and tax education

Disability insurance

Accidental death and dismemberment (AD&D) Insurance.

View Meta's employee benefits

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About the job

Apply before

Jun 29, 2024

Posted on

Apr 30, 2024