Data Scientist, Product Analytics

Meta; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading tech company in London is seeking a Data Scientist to analyze complex data and drive product strategy. The ideal candidate should have 6+ years of experience in data querying and scripting, with a strong background in analytical problem-solving. You will partner with cross-functional teams to shape product development and make data-driven recommendations. This role offers the opportunity to work with large data sets and influence global products.

Qualifications

• 6+ years of experience with data querying languages (SQL), scripting languages (Python), and statistical/mathematical software (R).
• Experience in solving analytical problems using quantitative approaches.
• Proven ability to lead data-driven projects from definition to execution.

Responsibilities

• Work with large and complex data sets to solve challenging problems using various analytical approaches.
• Apply technical expertise with quantitative analysis and data presentation.
• Identify and measure success of product efforts through goal setting and monitoring metrics.
• Define and understand opportunities to improve the product.
• Partner with cross-functional teams to inform and execute product strategies.

Skills

Data querying languages (SQL)

Scripting languages (Python)

Statistical/mathematical software (R)

Analytical problem-solving

Data mining

Education

Bachelor's degree in Mathematics, Statistics, or a relevant technical field

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

Job description

Summary:

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.

Required Skills:

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:

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:

Preferred Qualifications:

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

Industry: Internet