Data Scientist – Measurement, Experimentation & Causal Inference

Responsibilities

As a Data Scientist on our client's measurement and experimentation team, you will apply rigorous analytical techniques to evaluate product features and commercial initiatives affecting millions of users worldwide. This role focuses on measurement methodologies that go beyond traditional A/B testing.

Your responsibilities will include:

• Designing and executing robust measurement approaches across randomised experiments, quasi-experimental methods, and observational causal inference techniques
• Applying statistical, machine learning, and AI techniques to solve complex measurement challenges and generate actionable business insights
• Contributing to the development and adoption of best practices for experiment design, statistical analysis, and causal measurement
• Partnering closely with product managers, engineers, analysts, and business stakeholders to identify high-impact measurement opportunities
• Collaborating with engineering teams to provide feedback on experimentation and measurement capabilities, improving tooling and workflows
• Developing reusable analytical solutions, dashboards, and code that improve the quality, consistency, and efficiency of measurement
• Communicating analytical findings and recommendations clearly to technical and non-technical stakeholders
• Staying current with emerging developments in statistics, machine learning, and AI to improve measurement capabilities
• Contributing to a culture of evidence-based decision-making by sharing knowledge and promoting analytical best practices

What We're Looking For

Required qualifications:

• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science, or another quantitative discipline; PhD preferred
• 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning, or related analytical techniques to solve business problems
• Strong understanding of experimental design, A/B testing, and modern causal inference methods, including quasi-experimental approaches
• Experience applying data science, machine learning, and statistical modelling techniques to analyse complex datasets and generate actionable insights
• Strong proficiency in Python and SQL for analytical workflows
• Experience developing robust analytical solutions using sound statistical principles and software engineering best practices
• Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
• Curiosity, creativity, and a pragmatic approach to solving ambiguous business problems
• A collaborative mindset with a passion for continuous learning and improving analytical capabilities

Preferred qualifications:

• Experience working in gaming, digital products, consumer technology, e-commerce, or subscription businesses
• Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git, and Airflow
• Experience with business intelligence and data visualisation tools such as Tableau, Domo, or Power BI
• Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity
• Experience developing reusable analytical frameworks, libraries, or internal tooling
• Experience presenting analytical findings and recommendations to cross-functional stakeholders

This position is based in London with hybrid working arrangements available.

How We Work With You

We are representing a confidential consumer technology organization in their search for an exceptional Data Scientist. Our talent team at Get A Job.ai will support you through every stage of the process.

When you apply through Get A Job.ai, here's what happens next:

• A dedicated recruiter from our team will review your application and conduct an initial screening conversation
• If there's a strong match, we'll prepare and submit your profile to our client for consideration
• We'll coordinate all interview scheduling and provide guidance throughout the selection process
• Please do not contact the client directly - all communication should go through Get A Job.ai to ensure the best experience for everyone involved

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our recruitment process.