Data Scientist - Measurement, Experimentation & Causal Inference

Sony Interactive Entertainment
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Stakeholder management","Communication","Curiosity","Pragmatic problem-solving","Collaboration"]

Apply experimentation, causal inference, and advanced analytics to measure the impact of PlayStation products, features, and commercial initiatives—beyond standard A/B testing. Design robust measurement approaches for randomized, quasi-experimental, and observational settings, build reusable analytical solutions (dashboards and code), and collaborate with product, engineering, analytics, and business stakeholders to drive evidence-based decisions at scale.

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Sony Interactive Entertainment
Sony Interactive Entertainment
1 month ago

Data Scientist - Measurement, Experimentation & Causal Inference

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Apply experimentation, causal inference, and advanced analytics to measure the impact of PlayStation products, features, and commercial initiatives—beyond standard A/B testing. Design robust measurement approaches for randomized, quasi-experimental, and observational settings, build reusable analytical solutions (dashboards and code), and collaborate with product, engineering, analytics, and business stakeholders to drive evidence-based decisions at scale.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Apply measurement methodologies across experimentation, causal inference, and advanced analytics to evaluate product and commercial initiatives.
  • •Design and execute measurement approaches across randomized experiments, quasi-experimental methods, and observational causal inference when controlled experiments are impractical.
  • •Use statistical, machine learning, and AI techniques to solve complex measurement challenges and generate actionable business insights.
  • •Contribute to best practices for experiment design, statistical analysis, and causal measurement.
  • •Partner across product, engineering, analytics, and business teams; develop reusable analytical solutions, dashboards, and code, and communicate findings clearly.

Pay and Benefits

Perks:Hybrid WorkHealth InsuranceDentalAnnual LeaveGym Membership

Key Requirements

  • •Master’s degree (or equivalent industry experience) in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or Data Science; PhD preferred.
  • •3+ years of industry experience applying experimentation, causal inference, statistical modelling, and/or machine learning 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 to analyze complex datasets and generate actionable insights.
  • •Strong proficiency in Python and SQL, with stakeholder management and communication skills to explain technical concepts to technical and non-technical audiences.
Experience:3+ yearsGamingDigital productsConsumer technologyE-commerceSubscription businesses
Education:Master's in Statistics, Economics, Mathematics, Computer Science, Data Science, or another quantitative discipline
Skills:Stakeholder managementCommunicationCuriosityPragmatic problem-solvingCollaboration
Languages:English
Tech Stack:PythonSQLDatabricksSnowflakeGitAirflowTableauDomoPower BILLMsA/B testing

Company Brief

Sony Interactive Entertainment
Develops and publishes PlayStation hardware, software, and digital services, operating the PlayStation platform and ecosystem for gaming, entertainment, and network services worldwide.
Industry: Gaming
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: San Mateo, United States
Founded: 1993
WebsiteLinkedIn