Full-Time

Product Data Scientist

Confirmed live in the last 24 hours

Rec Room

Rec Room

201-500 employees

Social gaming platform for user-generated content

Consumer Software
Entertainment
Gaming

Compensation Overview

$130.3k - $183kAnnually

+ Stock Options + Sign-on Bonus

Mid

Remote in USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Data Analysis
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.
  • Proficiency in data visualization tools like StatSig, Sigma, or Hex is a plus.
  • 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 our data logging and analytics infrastructure.

Rec Room is a social gaming platform that allows users to create, share, and play games with others. Users can design their own games and experiences, which fosters a vibrant community where creativity and social interaction thrive. The platform operates on a freemium model, providing free access while offering in-app purchases for items like avatar customization and premium content. This approach encourages users to engage with the platform over the long term. Rec Room stands out from competitors by emphasizing user-generated content and community involvement, as well as prioritizing safety and inclusivity, demonstrated by its kidSAFE Seal Program certification for its Junior Mode. The goal of Rec Room is to create an engaging and safe environment for users of all ages to connect and enjoy interactive entertainment.

Company Stage

Late Stage VC

Total Funding

$286M

Headquarters

Seattle, Washington

Founded

2016

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

25%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in VR and AR is driving user engagement on Rec Room.
  • The platform's community-driven environment encourages long-term user engagement.
  • Rec Room's recent $145M funding round boosts its growth potential.

What critics are saying

  • Competition from other VR platforms like Roblox could impact Rec Room's market share.
  • Regulatory scrutiny over virtual goods could affect Rec Room's revenue model.
  • Evolving VR hardware may require Rec Room to continuously adapt its platform.

What makes Rec Room unique

  • Rec Room emphasizes safety with kidSAFE certification for its Junior Mode.
  • The platform leverages user-generated content to drive engagement and growth.
  • Rec Room offers a freemium model with in-app purchases for monetization.

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