
// Open Role at Rockstar Games
Join Rockstar Games as a Senior Data Scientist to elevate web and marketing analytics, ensuring data-driven insights enhance player experiences across all game titles and web environments.
At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar is seeking a Senior Data Scientist to join the Marketing Analytics team to help build Rockstar’s marketing analytics & business intelligence capacity and our player experiences. Successful candidates will work with analytics and product leadership to ensure that the most relevant possible real-time and historical data is identified, tracked, analyzed, and made actionable across all of our web environments, across all game titles.
This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.
Please note that these are desirable skills and are not required to apply for the position.
Please apply with a resume 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 committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.
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, race, or any other protected category.
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The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.
*NY Base Pay Range
$121,400—$161,800 USD
- Bachelor’s degree in a quantitative field (Computer Science, Statistics, Applied Mathematics, Operational Research, Business Intelligence, or any other relevant field). - 6+ years of experience in web data analysis. - 3+ years hands-on experience with web technologies (JavaScript, HTML, CSS, HTTP requests, etc.). - 3+ years experience in database querying with SQL and/or PySpark. - Experience building visualizations with business intelligence tools (Google Data Studio, Tableau, etc.). - Mastered proficiency with Google Analytics 4 or equivalent web analytics tool. - Strong expertise with Google Tag Manager or equivalent tag management system. - Experienced with joining web data with other data sources for deep analyses in database environments like BigQuery and Databricks.