Job Description
Why This Role Exists
Games generate mountains of data — player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn’t collecting it. It’s turning it into decisions that make games more fun, more engaging, and more profitable .
We’re looking for a gaming-savvy data scientist who can uncover player insights, balance competing KPIs, and help shape game design using evidence — not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer “why did players do that?” — you’ll fit right in.
What You’ll Do (Your Day-to-Day in Game Terms)
- Analyze player behavior, engagement, retention, monetization, and progression across our games
- Design and maintain dashboards that track live game performance and guide real-time decisions
- Partner closely with Game Designers, Product, Live Ops, and Game Intelligence teams to embed data into design and operational choices
- Define and evolve core game KPIs (DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance)
- Lead A/B tests and experiments to evaluate features, balancing changes, and live ops events
- Translate complex player data into clear insights and narratives that non-data teammates can act on
- Help drive a culture where data informs game design — without killing creativity
- Stay current on game analytics trends, tools, and best practices
Nice-to-Haves (a.k.a. “You’ll impress us if you bring these”):
- Building predictive models for churn, LTV, player segmentation, or personalization
- Advanced statistical modeling or simulation for game economies and feature impact
What You Bring to the Table
- Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field
- Hands-on experience with A/B testing, experimentation, and feature analysis
- Strong problem-solving skills and comfort working in ambiguous, real-world game scenarios
- 4+ years of industry experience in data science, analytics, ML, or predictive modeling (preferred)
- Experience applying machine learning or AI where it actually adds value (not just because it’s cool)
- Master’s degree preferred for senior-level candidates
- Highly preferred: experience working with online gaming datasets , especially slot or casino-style games
Your Analytics Toolkit
- Data & BI tools: SQL, Snowflake, Tableau, Power BI, Excel
- Programming & analysis: Python, R, Java, SAS
- Machine learning & AI platforms: TensorFlow, Azure ML Studio, or similar
- Strong foundation in statistics, data mining, pattern recognition, and predictive modeling
Why Gaming Data Scientists Like This Role
- Your insights directly influence game design, player experience, and revenue outcomes
- You’ll work alongside designers and product leaders who actually want data at the table
- You’ll analyze live games with real player impact , not abstract datasets
- You’ll help balance the art and science of game development
If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions — we’d love to hear from you.
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