Simulation Engineer (Python) — Game Math
- Джерело:
- djinni.co
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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