Senior Data Scientist

<p>At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including <strong><em>NBA® 2K</em></strong>, one of the top-selling franchises in the world, and legendary titles like <strong><em>BioShock®</em></strong><em>, </em><strong><em>Borderlands®</em></strong><em>, </em><strong><em>Mafia</em></strong><em>, </em><strong><em>Sid Meier’s Civilization</em></strong><strong>®</strong>, and<em> </em><strong><em>XCOM®</em></strong>, as well as fan favorites <strong><em>WWE® 2K</em></strong><em>, </em><strong><em>TopSpin®</em></strong>, and <strong><em>PGA TOUR® 2K</em></strong><em>.</em> We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre.</p> <p>Our portfolio is brought to life by some of the most influential game development studios in the world. <strong>Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, </strong>and <strong>2K SportsLab</strong> create world-class experiences across platforms.</p> <p>But what truly powers 2K is our people.</p> <p>We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to <strong>come as they are</strong> and do their best work.&nbsp;</p> <p><strong>What We Need</strong></p> <p>The Senior Data Scientist (P5) is a senior individual contributor who turns ambiguous business problems from marketing, product, and commercial teams into models and experiments the business can trust and act on. The role owns the data science systems behind that work — keeping models reliable in production and experiments methodologically sound — and serves as the technical lead on the highest-stakes projects. The Senior Data Scientist works with significant independence while partnering closely with senior stakeholders.</p> <p><strong>What You’ll Do</strong></p> <ul> <li>Technical Architecture &amp; System Ownership: Own the design, reliability, and long-term availability of end-to-end Data Science systems, accounting for performance and technical bottlenecks in production-grade predictive models and AI solutions.</li> <li>Experimental Frameworks: Architect rigorous experimental systems across cross-functional teams, ensuring validation methods are standardized, repeatable, and scalable.</li> <li>Business Insight &amp; Problem Definition: Partner