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Cypher games

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Data Scientist

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Summary

A data scientist at mobile game studio Cypher Games in Istanbul, analyzing player data to drive product, marketing, and design decisions. The role involves building predictive models, designing A/B tests, and maintaining dashboards and analytics pipelines using SQL, Python, and BI tools like Looker/Tableau.

At Cypher Games, data isn’t just numbers—it’s the key to creating unforgettable player experiences. As a Data Scientist, you’ll uncover patterns, build predictive models, and transform raw data into insights that shape the future of our games. Working hand-in-hand with Product, Marketing, and Engineering teams, your work will directly impact how millions of players enjoy and engage with our worlds. If you’re passionate about games, analytics, and solving complex problems with creativity, we’d love to have you on our team.

Responsibilities

  • Analyze large and complex data sets to uncover insights that guide product, marketing, and design decisions
  • Build predictive models, simulations, and forecasting tools to improve player engagement and retention
  • Design and evaluate A/B tests to validate hypotheses and optimize gameplay and monetization strategies
  • Collaborate with Product, Marketing, and Engineering teams to translate business needs into data-driven solutions
  • Build and maintain dashboards, reports, and analytics pipelines to empower teams with actionable insights
  • Monitor data quality and ensure the accuracy and reliability of reports and metrics
  • Stay up-to-date with emerging tools, methods, and best practices in data science and analytics

Requirements

  • Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, etc.)
  • 1–2+ years of professional experience in data science, analytics, or a related field (gaming experience is a plus)
  • Strong skills in SQL and proficiency in Python
  • Hands-on experience with dashboard and visualization tools (Looker, Tableau, or similar)
  • Understanding of statistical methods, A/B testing, predictive modeling, and machine learning techniques
  • Curiosity-driven, detail-oriented, and strong problem-solving mindset
  • Excellent communication skills and ability to work in cross-functional teams
  • Passion for mobile games and using data to shape player experiences

Skills

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See also

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