Manager of Analytics

About the Employer

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 on the lookout for talented Manager of Analytics who possess a passion for Business Intelligence. This is a full-time permanent position based out of Rockstar’s unique game development studio in the heart of downtown Manhattan.

WHAT WE DO

  • 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.

RESPONSIBILITIES

  • Manage the development of consumer-ready analysis to team leadership, live producers, product managers, and partner groups.
  • Assure Rockstar’s ongoing competitive advantage through best-in-class machine learning initiatives that have a high potential of applicability in the games industry.
  • Identify and lead analytic experiments aligned with long-term, strategic initiatives.
  • Design, develop, and deliver machine learning-enabled solutions to address critical business or game questions.
  • Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.
  • Partner with data analysts, data engineers, data scientists, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
  • Act as a subject matter expert for data availability, quality, and analysis possibilities on all of our games.
  • Lead the development of frameworks, models, tools, and processes to ensure data influences decisions at all levels.
  • Lead and inspire a team of world class data scientists, providing leadership through coaching and mentorship on a regular basis.
  • Influence the Analytics roadmap.
  • Participate in the recruitment of the best in class data scientists and analysts to help grow our team.

QUALIFICATIONS

  • 5+ years in a data science or similar role in the marketing, finance, forensics, or technology fields required.
  • 5+ years of experience in machine learning/statistical languages and systems such as Python, Matlab, R, and SAS.
  • 2+ years of experience in people management.
  • Extensive knowledge of machine learning techniques such as k-NN, Naive Bayes, SVM, Decision Forests, Data Mining, Clustering, and Classification.
  • Bachelor’s degree in Computer Science or related field, with a strong quantitative background.

SKILLS

  • Excellent communication skills - ability to develop and maintain good relations and integrate with people at all hierarchical levels across the organization.
  • Strong problem-solving skills.
  • Ability to reconcile technical and business perspectives.
  • Autonomy and entrepreneurship.
  • Strong mentoring abilities.
  • Strong team spirit.
  • Passion for Rockstar Games and our titles.

PREFERRED

Please note that these are desirable skills and are not required to apply for the position.

  • Experience with Vertica and Hadoop, an asset.
  • Graduate degree (MBA, MSc or Master’s, PHD), an asset.
  • Game industry experience strongly desired.

HOW TO APPLY

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.