Game Data Scientist

• Analyze player behavior, level progression, and gameplay loops to surface insights that drive engagement and retention.
• Partner with game economy and product teams to optimize sinks, sources, and pacing across the player lifecycle.
• Design and evaluate A/B tests to assess new features, progression changes, or economy adjustments.
• Create clear visualizations and dashboards to communicate findings across disciplines.
• Identify patterns, friction points, and growth opportunities in the player journey using advanced analytics and statistical techniques.
• Translate data into product strategy, guiding the team toward high-impact decisions.

• 2+ years of experience as a data scientist or product analyst, ideally in the gaming industry.
• Strong command of SQL and data exploration in large datasets.
• Proficiency with BI tools (e.g., Looker, Tableau, Power BI).
• Strong understanding of statistical analysis, experimentation, and hypothesis testing.
• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Math, Engineering).
• Clear communication and storytelling skills - able to influence both technical and non-technical stakeholders.

• Scripting in Python or R for deeper analysis or automation - a big advantage.
• Experience with player progression, level analytics, or in-game economy modeling.

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