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Game Mathematician/ Data Scientist

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We are looking for a specialist who combines gambling game mathematical modeling with a Data Science approach.

This role sits at the intersection of game mathematics, risk management, data, and product decisions, with active involvement in the design of new games and ML-driven product personalization.

Main responsibilities:

Game Mathematics

  • Develop and maintain mathematical models for games (roulette-like, crash, card games, etc.)

  • Perform Monte Carlo simulations to evaluate game convergence and volatility

  • Assess and manage risk: monitor convergence speed and calculate betting limits

Data Science

  • Develop ML models for:

○ Player/customer segmentation

○ LTV, churn, and activity prediction

○ Anomaly detection

○ Game and bet size recommendations

  • Participate in all stages of model development, from EDA to deployment

Additional Responsibilities

  • Prepare clear and actionable insights for business stakeholders

  • Document calculation logic, models, and decision rationale

  • Write SQL queries to extract data for analysis

  • Design data structures for storing ML model outputs

Required Experience, Skills & Qualifications

  • 2+ years of experience in Data Science or Python/C# development

  • Strong mathematical background: probability theory, statistical distributions, Monte Carlo methods

  • Experience with ClickHouse, MySQL (or similar databases)

  • Advanced SQL skills (CTEs, window functions, query optimization)

  • Strong Python skills, including ML libraries

  • Understanding of key product metrics (RTP, LTV, Retention, etc.)

  • Ability to document results clearly and accurately

Soft Skills

  • Strong analytical thinking

  • Ability to explain complex concepts in simple terms

  • Independence and accountability for results

  • Ownership mindset for features and calculations

Nice to Have

  • Experience with C# development

  • Experience in finance or physics involving simulations and risk assessment

  • Experience with product recommendation systems and personalization

  • Ability to independently design and build analytical data marts

  • Experience with Apache Airflow or similar tools

  • Experience using GitLab, Confluence, and Jira

Can't find the position
you're looking for?

No worries! We're always on the lookout for talented individuals. Feel free to send us your resume and let us know why you'd be a great fit for our team. We'll keep your application on file for future opportunities.

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