Senior/Staff Data Scientist – Measurement, Experimentation & Causal Inference

Responsibilities

We are representing a confidential gaming technology organization in their search for a Senior/Staff Data Scientist specializing in measurement, experimentation, and causal inference. In this role, you will:

• Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making
• Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical
• Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges
• Apply advanced data science and machine learning techniques to complement experimentation and support complex business decisions
• Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams
• Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure decisions are supported by rigorous evidence
• Collaborate with engineering teams to influence the evolution of experimentation platforms and measurement capabilities, ensuring statistical best practices are embedded into platform development
• Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction
• Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across teams
• Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation and causal inference
• Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities

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
• Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems
• Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches
• Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems
• Expert-level proficiency in Python and SQL for large-scale analytical workflows
• Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams
• Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration and senior stakeholder engagement
• Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences
• Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems

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 modern 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
• Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice

How We Work with You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional data science professionals with career-defining opportunities. When you apply through our platform, a dedicated recruiter will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we will submit your candidacy to our client for consideration. Throughout the interview process, we'll provide guidance and support to help you present your best self.

Please note: we ask that you work exclusively through Get A Job.ai during this process and not contact the client organization directly, as this helps us advocate most effectively on your behalf.

This position is based in London with hybrid working arrangements available. Our client conducts background checks at the offer stage for all new employees.

Pay

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

Equal Opportunity: Get A Job.ai is committed to fostering an inclusive recruiting process. We encourage applications from candidates of all backgrounds and experiences.