Product Data Scientist

Summary

Join Rec Room's Data Science team and leverage your analytical expertise to mentor fellow scientists and analyze player behavior data. You will drive impactful decisions across the platform, tackling challenges such as player retention, in-game monetization, and user-generated content optimization. This role requires using quantitative analysis to understand player engagement and building analytics experiments and dashboards. You will collaborate with various teams to deliver strategic insights and optimize the player experience. The ideal candidate possesses a quantitative degree, 3+ years of relevant experience, and expertise in SQL, statistical analysis, and A/B testing. Rec Room offers a competitive salary, stock options, and a comprehensive benefits package.

Requirements

• A degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline
• 3+ years of experience in data analytics, data science, or a related field, with a focus on user behavior and engagement in digital products or gaming platforms
• Experience in user segmentation, cohort analysis, funnel optimization, time series analysis, and statistical modeling (e.g., regression, clustering)
• Expertise in SQL, ETL processes, A/B testing, and statistical analysis using tools like R, Python, or similar packages
• A problem-solving mindset, with the ability to tackle open-ended questions in a structured, hypothesis-driven, data-supported way

Responsibilities

• Use quantitative analysis to go beyond surface-level numbers and truly understand what drives player engagement, retention, and monetization
• Build and lead end-to-end analytics experiments, reports, and interactive dashboards using SQL, R, Python, or other analytical tools
• Mentor junior analysts and data scientists, teaching them advanced statistical methods and how to apply them to RecRoom-specific challenges
• Produce actionable insights and recommendations by applying statistical techniques to run robust experimentation to find / deliver value to players
• Work closely with game designers, engineers, and our executive leadership team to deliver strategic insights around player behavior, content trends, and platform dynamics
• Identify and measure key levers to help influence critical player metrics and make strategic recommendations to optimize the player experience
• Collaborate closely with our Data Engineering org to implement, document, validate, and monitor

Preferred Qualifications

Proficiency in data visualization tools like StatSig, Sigma, or Hex is a plus

Benefits

• Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package
• Flexible vacation
• Medical
• Dental
• Vision
• Life and disability coverage
• Long-term care insurance
• FSA
• Commuter benefits
• A 401(k) plan with company match
• A parental leave program
• Equipment, family, and pet care stipends
• Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and your children
• We also support your retirement benefits with a company match
• Unlimited paid time off