For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1
5 days ago
🏢 In-office - London
For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1
• Lead advancement of experimentation capabilities in data science methods. • Drive innovation in experimentation research by developing new methodologies and frameworks. • Lead efforts to advance experimentation infrastructure with statistical and machine learning methods. • Collaborate with product managers to identify high-impact experimentation opportunities. • Act as a thought leader in experimentation and causal inference, mentoring teams. • Research and prototype techniques for handling real-world experimentation challenges. • Work with stakeholders to shape experimentation strategies and foster a data-driven culture. • Champion growth of analysts to strengthen analytical capabilities. • Promote team’s achievements in experimentation and foster a culture of continuous learning.
• 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.
• Discretionary bonus opportunity • Hybrid Working (within Flexmodes) • Private Medical Insurance • Dental Scheme • 25 days holiday per year • On Site Gym • Subsidised Café • Free soft drinks • On site bar • Access to cycle garage and showers
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