Applied Scientist: Player Behavior & Game Math (Irvine)

Bitus Labs; Irvine (CA); On-site; USD 150,000 - 240,000; Full time

Job summary

Bitus Labs in Irvine, CA, seeks a quantitative researcher to translate ambiguous product questions into well-posed modeling problems and deliver solutions that are engaging and compliant with global standards. You will drive research and product impact in a fast-paced, on-site team with game designers, product managers, and engineers.

The role requires expertise in probability, statistics, and game mathematics, with fluency in Chinese and the ability to work on-site in Irvine.

Qualifications

• PhD or MS with industry experience in applied science or ML engineering.
• Strong math background and ability to model game systems.
• Experience with probabilistic/statistical modeling and simulations.

Responsibilities

• Develop models of player behavior—engagement, monetization, retention, anomaly detection—and the systems that act on them.
• Translate product questions into modeling problems using probabilistic and generative methods, gradient boosting, RL, bandits, and optimization.
• Apply lifetime value estimation and retention analysis to inform game design decisions.
• Develop and refine core math models for slot machines and games to meet RTP, hit frequency, and volatility goals.
• Design and verify random mechanics, bonuses, spins, and jackpots via combinatorial analysis.
• Balance engagement, regulatory requirements, and profitability through mathematical solutions.
• Work with large, imbalanced real-world data; diagnose quality, distribution shift, and leakage; design robust evaluations.
• Run large-scale simulations and data analyses (Python, MATLAB, R, or custom) to forecast performance and retention.
• Move models to production with clean, reproducible code; participate in deployment and monitoring constraints.
• Build ML pipelines on AWS for training, deployment, and monitoring of production models.
• Prepare math models and documentation for certification by GLI, BMM, and others across regions.
• Translate complex math/ML concepts into engaging gameplay for technical and non-technical audiences.
• Play-test games, analyze live data, and maintain design docs (par sheets, pay tables, control files).

Skills

Probability Theory

Statistics

Mathematical Modeling

Reinforcement Learning

Data Interpretation

Technical Communication

Education

PhD in Mathematics

MS in Computer Science

Tools

Python

MATLAB

R

C++

Git

Job description

Bitus Labs in Irvine, CA, seeks a quantitative researcher to translate ambiguous product questions into well-posed modeling problems and deliver solutions that are engaging and compliant with global standards. You will drive research and product impact in a fast-paced, on-site team with game designers, product managers, and engineers.

The role requires expertise in probability, statistics, and game mathematics, with fluency in Chinese and the ability to work on-site in Irvine.