Senior Data Scientist

United Kingdom, London

Why PlayStation?

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

As a Senior Data Scientist, you will lead the advancement of our experimentation capabilities, driving innovation and research in data science methods that fuel impactful business decisions in SIE. Your primary responsibility will be to push the boundaries of experimentation methodologies and frameworks, influencing the company's overall strategy and empowering teams to run experiments more efficiently and accurately. You will contribute to advancing our experimentation culture, continuously innovating and refining techniques to optimise decision-making, platform engagement, and product features for our first-party games.

• Drive innovation in experimentation research by developing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Lead efforts to advance our experimentation infrastructure, including implementing new statistical and machine learning methods to refine experimentation analysis.
• Collaborate closely with product managers and business leaders to identify high-impact experimentation opportunities, ensure alignment with strategic goals, and promote data-driven decision-making across the company.
• Act as a thought leader in the field of experimentation and causal inference, mentoring and educating cross-functional teams on best practices, emerging trends, and new research.
• Research and prototype novel techniques for handling experimentation challenges in complex, real-world environments, including dealing with constraints in data, user behaviour, and product usage.
• Work with stakeholders to shape experimentation strategies and foster a data-driven culture, while guiding teams on industry-standard methodologies for experiment design and execution.
• Champion the growth and development of analysts to strengthen the team's analytical capabilities.
• Promote and share the team's opinions and achievements in experimentation, data science, and causal inference across the broader organisation, fostering a culture of continuous learning and innovation.
• Stay up to date with the latest advancements in experimentation, causal inference, and machine learning, actively sharing new ideas to enhance our capabilities.

• Good understanding of the gaming industry and related gaming titles.
• Expertise in leading experimentation innovation, with a proven track record of advancing experimentation methods and infrastructure in a business environment.
• 5+ years of experience working with SQL and statistical packages (R or Python) for experimentation analysis, model development, and large-scale data analysis.
• Deep knowledge of causal inference methodologies and experience developing scalable solutions for A/B testing and quasi-experimental designs.
• Demonstrated ability to collaborate with partners to drive experimentation strategy, guiding high-impact business decisions through data.
• Good communication skills with the ability to explain technical concepts effectively to non-technical collaborators, ensuring business alignment.
• An innovative approach to tackling intricate data challenges, demonstrating the use of brand new techniques in machine learning, causal inference, and experimentation.
• Master's Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Familiarity with data engineering tools and practices (e.g., Airflow, Git), and experience with BI tools (Tableau, MicroStrategy) for data visualization.
• Demonstrated thought leadership in promoting experimentation culture and contributing to the development of standard methodologies and innovation.