Role Description

We Are Looking for a Research Director, Gaming. Our Research & Data Analytics (R/DA) team is building the next generation of player intelligence for the gaming industry. Rather than treating research and analytics as separate disciplines, we’re integrating multiple sources of player data to create a more holistic understanding of gamers.

At the center of this effort is PlayDX, our intelligence platform that brings together behavioral data, community sentiment, qualitative and quantitative research, and advanced analytics to uncover the motivations, tensions, and connections players form with games, shaping how they discover, engage with, and stay loyal to them.

As a Sr. Data Scientist, you will help translate large-scale behavioral gaming data into predictive models, analytical frameworks, and scalable systems. Reporting to the SVP of Research & Data Analytics, you will work closely with research, analytics, and product teams to develop methodologies and tools that power PlayDX and other data products.

On any given day you might…

• Analyze large-scale behavioral gaming datasets to uncover patterns in player behavior, engagement, retention, and cross-game activity.
• Develop statistical models and analytical frameworks to serve as the foundation for our data products and insights.
• Translate complex behavioral data into clear, actionable recommendations that inform marketing, product, and community strategy for Open World’s campaigns team and our publisher and studio partners.
• Communicate analytical findings through clear narratives, data visualizations, and presentations for both internal stakeholders and external clients.
• Collaborate with research and product teams to integrate behavioral data with survey and community sentiment to generate a more complete view of gamer decision-making.
• Contribute to the development and improvement of internal and client-facing analytical tools, workflows, and methodologies that support the continued growth of behavioral datasets and scalable insights.

Qualifications

• 3+ years of experience in data science, machine learning, or advanced analytics roles.
• Strong experience working with large behavioral datasets and complex data environments.
• Advanced proficiency in Python or R (or similar tools) for statistical analysis and modeling.
• Experience building models such as clustering, classification, regression, and predictive modeling; machine learning experience a plus, but curiosity and a willingness to learn are essential.
• Strong quantitative and analytical problem-solving skills.
• Experience translating complex analyses into clear narratives through data visualization, presentations, and written insights.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Comfortable working cross-functionally and collaborating with research, product, and strategy teams.
• Hands-on experience managing projects and coordinating with internal stakeholders or clients.
• Experience with SQL or querying large-scale datasets is a plus.
• Interest in gaming, entertainment, or digital ecosystems.

Benefits

• Medical, Dental, and Vision Insurance.
• Company-paid life insurance, short term and long term disability insurance.
• 401k plan with 4% company matching.
• Flexible work schedule.
• Unlimited PTO.
• Dog-Friendly Office.
• Cell Phone, and Internet Service coverage.
• Team Events.

Salary Range

$110,000 – $130,000 (plus bonus)

How to apply

Please submit your resume and a brief cover letter detailing your experience and interest in the role.