Intern: Data Analytics / Data Science (Spring 2027)
About The Position
Rockstar Games is seeking students passionate about data analysis and insights to help build immersive game experiences. This is a paid, fixed-term contract position running for 15 weeks from late January 2027 to early May 2027, with an expectation of a 40-hour work week. The successful candidate will work in Rockstar’s NYC headquarters in Downtown Manhattan. The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision-making. They partner with multiple departments, leveraging analytics to measure and improve the success and health of games. The team collaborates globally to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications, working alongside innovative data-driven decision-makers impacting Rockstar’s future.
Requirements
- Undergraduate students, graduate students, or recent graduates who have completed coursework in data science, data analytics, or a related field.
- Exposure to statistical methods, including distributions, predictive modeling, data validation, and hypothesis testing.
- Ability to understand a business problem and translate it into a technical problem.
- Ability to communicate results and present findings to a variety of stakeholders.
- Excellent problem-solving ability.
- Exposure to Python.
- Curiosity in how to use machine learning and advanced analytical methods to solve problems.
- Great team communication skills.
- Excellent writing skills.
- Applicant must be eligible to work in the US.
Nice To Haves
- Experience querying data from a database using SQL (or an equivalent).
- Familiarity with cloud computing and big data technologies.
- Familiarity with Rockstar products.
Responsibilities
- Provide strategic insight and predictive modeling on player behavior.
- Deliver reports and analysis projects using player, game, and platform data.
- Achieve well-scoped goals based on guidance and support from Leads and team members.
- Experiment with and explore new opportunities for machine learning applications while contributing to existing models & pipelines.
- Collaborate with fellow interns on Research and Development projects.
Benefits
- Paid position
- Reasonable accommodations for qualified job applicants with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
