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Data Scientist at Rockstar Games (New York, NY)

At Rockstar Games, we create the games we would want to play ourselves.

A career at Rockstar is about being part of a team working on some of the most creatively rewarding, large-scale projects to be found in any entertainment medium. You would be welcomed to a friendly, inclusive environment where you can learn, and collaborate with some of the most talented people in the industry.

Rockstar New York is seeking an experienced Data Scientist to join our Analytics practice and help advance our business intelligence capabilities. Successful candidates will work with analytics and product leadership to assure that the most relevant real-time and historical data is identified, tracked, analyzed, and made actionable across all of our games. This is a full-time permanent position based out of Rockstar’s unique game development studio in the heart of downtown Manhattan.


  • The Rockstar Analytics team provide insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.

  • We work together with a number of departments to design and implement data and pipelines.

  • We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses and machine learning applications.


  • Partner with analysts and live producers to identify strategic business questions, key metrics, and actionable insights.

  • Provide consumer-ready analysis to Analytics team leadership, live producers, product managers and partner groups.

  • Assure Rockstar’s ongoing competitive advantage through best-in-class business and game data analysis.

  • Initiate and carry out analytic experiments aligned with long-term, strategic initiatives.

  • Combine great data analytics skills with strong business acumen to provide insights that will drive continued success.

  • Design, develop and deliver machine learning enabled solutions to address critical business or game questions.

  • Design and build validation tests to assess the efficiency of the model (or algorithm) in place and provide strategic insights to stakeholders.

  • Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.

  • Develop mechanisms to objectively measure the performance of initiatives and propose recommendations for improvement.

  • Develop frameworks, models, tools, and processes to ensure data influences decisions at all levels.

  • Work within a team of data analysts and engineers.


  • 3+ years in a data science or similar role in the marketing, finance, forensics or technology fields required.

  • Extensive knowledge of machine learning techniques such as k-NN, Naive Bayes, SVM, Decision Forests, Data Mining, Clustering, and Classification.

  • Proficiency in statistics such as distributions, predictive modeling, data validation, statistical testing, regression.

  • 2+ years of experience in machine learning/ statistical languages and systems such as Python, Matlab, R, SAS.

  • Bachelor’s degree in Computer Science or related field, with a strong quantitative background.

  • Ability to develop and maintain good relations and communicate with people at all hierarchical levels.

  • Strong problem-solving skills.

  • Ability to reconcile technical and business perspectives.

  • Autonomy and entrepreneurship.

  • Strong team spirit.

  • Passion for Rockstar Games and our titles.


  • 2+ years using SQL (or a SQL-like language) required, other programming experience highly preferred.

  • Experience with Vertica and Hadoop, an asset.

  • Graduate degree (MBA, MSc or Master’s, PHD), an asset.

  • Game industry experience strongly desired.


Please apply with a CV and cover-letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, or race.

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