Senior Data Scientist

About the role

At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre.

Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms.

But what truly powers 2K is our people.

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 come as they are and do their best work.

What We Need

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.

What You’ll Do

- Technical Architecture & 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.

- Experimental Frameworks: Architect rigorous experimental systems across cross-functional teams, ensuring validation methods are standardized, repeatable, and scalable.

- Business Insight & Problem Definition: Partner closely with marketing, product, and commercial teams to diagnose business challenges — spanning areas such as gamer engagement, marketing efficiency measurement, and regional strategy — and define appropriate metrics, analyses, and interpretations to drive strategic decisions.

- Statistical & Predictive Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models and AI solutions used for marketing spend optimization, product growth, and player engagement.

- Executive Communication & Narrative: Design clear, unambiguous narratives and visualizations to communicate complex data initiatives to broad, non-technical audiences up to the executive level.

- Collaboration & Cross-Functional Partnership: Work closely with peers across the broader data and analytics organization toward shared goals — aligning on data sources, standards, and priorities early, and sharing knowledge so the whole team's work compounds rather than duplicates.