Staff Data Scientist -  Experimentation & Measurement 

<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><p><span style="font-size: 12pt;"><strong>Staff Data Scientist -  Experimentation & Measurement </strong></span></p> <p><span style="font-size: 12pt;"><strong>Overview:</strong></span></p> <p><span style="font-size: 12pt;">As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.</span></p> <p><span style="font-size: 12pt;"><strong>What You’ll Be Doing:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Mentor and guide other Data Scientists, providing thought leadership and technical direction.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.</span></li> &l