Data Scientist, Product Analytics London, UK • Data & Analytics • Data Science London, UK Data [...]

Meta; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you will leverage your analytical skills to shape innovative products that impact billions of users globally. You will work with vast data sets, employing advanced statistical techniques and data-driven storytelling to influence product strategy and drive impactful decisions. Collaborating with diverse teams, you will identify opportunities and challenges, ensuring that the products we build deliver real value to users and businesses alike. This is an exciting opportunity to be part of a world-class analytics community dedicated to your professional growth and development.

Qualifications

• 6+ years of experience with data querying languages and statistical software.
• Expertise in solving analytical problems using quantitative approaches.

Responsibilities

• Work with large data sets to solve complex problems using various analytical approaches.
• Partner with cross-functional teams to influence product strategy and decisions.

Skills

Data Analysis

Statistical Analysis

Data Visualization

Problem Solving

Communication Skills

Education

Bachelor's degree in Mathematics

Master's or Ph.D. Degree in a quantitative field

Tools

SQL

Python

R

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 wide range 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 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

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. 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.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

1. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
2. 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
3. 6+ 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, communicating actionable insights].

Preferred Qualifications

Master's or Ph.D. Degree in a quantitative field.