Data Scientist - Gaming Analytics & Player Growth

Cypher Games; Fatih; On-site; TRY 420,000 - 560,000; Full time

Job summary

Cypher Games is seeking a Data Scientist to turn player data into actionable insights. You will analyze large data sets, build predictive models, and design experiments with product, marketing, and engineering to influence game design, live operations, and monetization.

You should be comfortable with SQL, Python, dashboards (Looker/Tableau), and communicating findings to cross-functional teams. If you love mobile games and turning data into memorable player experiences, we'd love to hear from

Qualifications

• Bachelor's or Master's in a quantitative field (Statistics, Mathematics, CS, Engineering, Economics, etc.).
• 1–2+ years of professional data science/analytics experience; gaming is a plus.
• Strong SQL and Python skills; dashboard experience required.

Responsibilities

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

Skills

SQL

Python

Dashboards

A/B Testing

Predictive Modeling

Machine Learning

Data Visualization

Cross-functional Collaboration

Education

Bachelor's or Master's in a quantitative field

Tools

Looker

Tableau

Job description

Cypher Games is seeking a Data Scientist to turn player data into actionable insights. You will analyze large data sets, build predictive models, and design experiments with product, marketing, and engineering to influence game design, live operations, and monetization.

You should be comfortable with SQL, Python, dashboards (Looker/Tableau), and communicating findings to cross-functional teams. If you love mobile games and turning data into memorable player experiences, we'd love to hear from