Junior Player Scientist

About the Position

Who We Are:

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products principally through Rockstar Games, 2K, Private Division, and Zynga. Our products are currently designed for console gaming systems, PC, and Mobile, including smartphones and tablets, and are delivered through physical retail, digital download, online platforms, and cloud streaming services. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge:

T2 Marketing Innovation Technology | Experimentation and Player Sciences | Junior Player Scientist

We are seeking a motivated Junior Player Scientist with a strong analytical background, specialising in statistics, data analysis, and machine learning. The ideal candidate will have some hands-on experience with Player/data science projects and a passion for applying data-driven solutions to real-world business challenges in a Marketing and gaming context. This role will involve working across multiple labels within the T2 family, providing solutions that drive player engagement and enhance the gaming experience.

You will play a key part in designing, executing, and analysing player-focused experiments that inform game development and marketing strategies. You will work closely with cross-functional teams to develop robust experimentation frameworks, such as A/B tests and randomised control trials, to assess the impact of game in-game/out of game events, and promotional campaigns. Your insights will directly influence decisions that shape player experiences across various titles.

What You’ll Take On:

Machine Learning Modelling:

• Collaborate with cross-functional teams to identify opportunities where predictive models can optimise marketing strategies.

• Assist in developing, testing, and deploying machine learning models aimed at improving marketing effectiveness and customer engagement.

Experimentation and Success Measurement:

• Partner with marketing stakeholders to design, execute, and analyse controlled experiments, including A/B tests and randomised control trials.

• Evaluate the impact of marketing campaigns and long-term business strategies through ongoing experimentation and data-driven insights.

• Contribute to the development and enhancement of marketing analytics platforms, such as Meta Advanced Analytics and Google Ads Data Hub, with a focus on data cleanroom measurement solutions.

Analysis and Reporting:

• Analyse experiment data to derive insights and make recommendations for game features, content updates, and marketing strategies.

• Communicate findings to stakeholders, translating complex data into clear, actionable strategies.

Cross-Label Collaboration:

• Work across multiple labels within the T2 family to share best practices and insights, driving consistent and effective experimentation approaches across all titles.

• Support the development of a unified experimentation platform that can be leveraged by different teams within the organisation.

Tools and Technologies:

• Proficiency in programming languages, with a preference for Python.

• Strong understanding of SQL and experience querying data warehouses, particularly Snowflake.

• Experience with cloud computing platforms (AWS, Azure) is a plus, with additional consideration given to candidates familiar with Databricks.

• Bonus points for experience working with data cleanrooms and related privacy-enhancing technologies.

What You Bring:

• Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.

• Strong problem-solving skills, with an ability to work collaboratively in a team-oriented environment.

• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

What We Offer You:

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.

• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.

• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com

Take-Two Interactive Software, Inc. and its affiliates and group companies (“T2”) is proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment at T2 is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, colour, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, citizenship status, physical or mental disability, pregnancy, age, marital status, or any other characteristics protected by applicable law.