Data Scientist – Measurement, Experimentation & Causal Inference

Data Scientist – Measurement, Experimentation & Causal Inference Overview

Join Sony Interactive Entertainment as a Data Scientist specializing in Measurement, Experimentation, and Causal Inference. In this role, you will play a crucial part in assessing the impact of PlayStation’s products and commercial strategies through advanced data science techniques. Your work will involve applying robust analytical methods to solve complex business challenges and support data-driven decision-making across the organization.

Key Responsibilities:

• Utilize measurement methodologies to assess the impact of PlayStation’s products and commercial initiatives through experimentation and causal inference.
• Design and implement effective measurement strategies using randomized experiments, quasi-experimental methods, and observational causal inference when controlled experiments are not feasible.
• Employ statistical, machine learning, and AI techniques to tackle complex measurement challenges and derive actionable business insights.
• Integrate advanced data science and machine learning techniques to enhance experimentation and support intricate business decisions.
• Contribute to the establishment and promotion of best practices in experiment design, statistical analysis, and causal measurement.
• Collaborate with product managers, engineers, analysts, and business stakeholders to identify significant measurement opportunities and ensure that product and commercial decisions are backed by solid evidence.
• Work with engineering teams to provide insights on experimentation and measurement capabilities to enhance tools and workflows.
• Create reusable analytical solutions, dashboards, and code to improve the quality, consistency, and efficiency of measurement processes.
• Clearly communicate analytical findings and recommendations to both technical and non-technical stakeholders.
• Stay updated on the latest advancements in statistics, machine learning, and AI to identify opportunities for enhancing measurement capabilities and analytical workflows.
• Foster a culture of evidence-based decision-making by sharing knowledge and promoting analytical best practices across teams.

Qualifications:

• A Master’s degree or equivalent experience in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative field; a PhD is preferred.
• At least 3 years of professional experience in applying experimentation, causal inference, statistical modeling, machine learning, or similar analytical techniques to address business challenges.
• Strong understanding of experimental design, A/B testing, and modern causal inference methods, including quasi-experimental approaches.
• Experience in utilizing data science, machine learning, and statistical modeling techniques to analyze complex datasets and produce actionable insights.
• Proficiency in Python and SQL for conducting analytical workflows.
• Ability to develop robust analytical solutions grounded in sound statistical principles and software engineering best practices.
• Excellent stakeholder management and communication skills, capable of conveying technical concepts to both technical and non-technical audiences.
• A curious, creative, and pragmatic approach to resolving ambiguous business problems.
• A collaborative attitude with a commitment to continuous learning and enhancing analytical skills.

Benefits:

• Discretionary bonus opportunity
• Hybrid working options (FlexModes)
• Private medical insurance
• Dental scheme
• 25 days of annual leave
• On-site gym facilities
• Subsidized café
• Complimentary soft drinks
• On-site bar
• Secure cycle storage and shower facilities

At Sony Interactive Entertainment, we are committed to creating an inclusive environment and encourage applications from all qualified individuals. We conduct background checks at the offer stage for all new employees. If you are interested in this opportunity, please apply now!

Degree Requirement: Not Specified

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