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Simulation Engineer (Python) — Game Math

Джерело:
djinni.co
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Що робити

  • Build and maintain a config-driven simulation framework for slot games, including reels/weights, paytables, and feature parameters.
  • Make simulation tooling easy to use directly by the Game Mathematician without engineering involvement for every balancing iteration.
  • Run and analyze Monte Carlo simulations to validate RTP, payout distribution, volatility, hit rate, and max win frequency.
  • Analyze simulation convergence, confidence intervals, rare events, and distribution tails.
  • Ensure reproducibility through seeded runs and versioned configurations.

Що очікуємо

  • Strong Python at an engineering level.
  • Hands-on experience with NumPy, vectorization, profiling, and large data volumes.
  • Experience building maintainable, config-driven and reproducible tooling, not just one-off scripts.
  • Strong knowledge of applied statistics and probability: confidence intervals, convergence, variance, distributions, and rare events.
  • Experience with Monte Carlo simulations or other large-scale computational simulations.

Що пропонуємо

  • Previous experience in iGaming, casino games, or slot mathematics.
  • Background in applied probability domains such as quantitative finance, actuarial science, sports betting, computational physics, or operations research.
  • Performance optimization experience with Numba, Cython, C++, or Rust.
  • Experience building visualization/reporting tools for statistical distributions and simulation results.
  • Experience with CI pipelines for computational workloads and automated regression testing.

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