Data Scientist

Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA️ 2K, renowned BioShock️, Borderlands️, Mafia, Sid Meier’s Civilization️ and XCOM️ brands; popular WWE️ 2K and WWE️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role. If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

What We Need

We are seeking a highly skilled and experienced Senior Data Scientist to join our talented Insights and Analytics team in developing and refining our player-centric experimentation strategy enabling data-informed decision-making for an emerging IP in the 2K portfolio.

The ideal candidate is adept at using advanced statistical and causal inference techniques to drive experimentation strategies and is passionate about shaping the research direction by developing tools and methods that increase the rigor and efficiency of experimentation platforms and analyses. The right candidate will have a strong understanding of a player-centric approach, ensuring that our team’s experimentation strategy aligns with player needs, feedback, and behavior. This approach ensures that experiments are not only methodologically rigorous but also directly relevant to improving the player experience, leading to more impactful and actionable results.

This role requires a strong relationship builder, as they will partner closely with key cross-functional publishing teams to identify, model, and execute solutions. They must be an articulate communicator and instill the same in their team to ensure key findings are shared in a clear and timely manner, maximizing impact and influence on a wide range of live service and commercial business decisions.

What You Will Do

• Skillfully identify and apply analytics, causal inference, experimentation, and machine learning techniques to address and resolve specific business challenges.
• Lead the design and implementation of experiments by translating business objectives into testable hypotheses, and driving the analysis and interpretation to inform live services strategies.
• Actively conduct data exploration on player engagement behaviors to identify future opportunities.
• Build & maintain stakeholder relationships with cross-functional teams through effective technical and non-technical cross-functional communication.
• Analyze, visualize, and communicate the ongoing performance trends, strategic insights, and optimization recommendations to stakeholders.
• Partner with Data Engineering, Data QA, and Central Tech teams to define analytical requirements, ensuring the delivery of high-quality data required to implement and enable experiments that align with business objectives.
• Up-level others on the team through mentorship and peer review using your experience and domain expertise.

What Will Make You A Great Fit

• 5+ years of professional experience with data scripting languages (SQL, python, R, etc.)
• In depth understanding and experience using supervised and unsupervised machine learning techniques.
• Solid understanding of causal inference methods (such as propensity score matching, synthetic control methods, etc.)
• Experience applying statistical analysis, machine learning, and experimental design in a consumer-facing business context.
• Proficient with the creation of rich data visualizations and visual story-telling, using platforms such as Tableau.
• Experience with project management and communication tools such as Asana, Confluence, JIRA, and Slack.
• Experience balancing technical problem-solving with clear and concise communication, ensuring transparency with partners.
• Independent thinker who can take the initiative and approach problem-solving with an innovative mindset and focus on scalable solutions.
• Comfortable with ambiguity and thinking through multiple perspectives with the ability to stay grounded in the face of change.
• Plus: Experience in building experimentation platforms and causal inference solutions.
• Plus: Video games industry experience.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.