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Principal Data Scientist @A5 Labs

[Hiring] Principal Data Scientist @A5 Labs

Apr 04, 2025 - A5 Labs is hiring a remote Principal Data Scientist. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

  • Develop and deploy machine learning models to detect collusion, BOT / AI-assisted play, and other forms of cheating in online poker.
  • Leverage game theory, behavioral analytics, neural networks, and deep reinforcement learning to identify unfair play patterns.
  • Design adversarial AI strategies to stress-test poker security models and proactively identify vulnerabilities.
  • Develop real-time bot detection models that analyze mouse movements, timing patterns, and decision consistency to differentiate human players from AI-assisted or fully automated bots.
  • Use keystroke dynamics, clickstream analysis, and behavioral biometrics to detect robotic play.
  • Research multi-accounting automation and ring-based bot networks, developing AI-driven countermeasures.
  • Implement graph-based network analysis to uncover bot farms and shared automation systems.
  • Research and implement game-theoretic AI models to analyze deviations from Nash equilibrium and identify potential cheating behaviors.
  • Develop exploitative modeling techniques to compare player behavior against optimal strategies and detect unnatural patterns.
  • Utilize inverse reinforcement learning to infer player intent and detect deviations from expected game dynamics.
  • Build multi-agent simulations to test different cheating scenarios and AI-driven countermeasures.

Qualifications

  • PhD or Master’s in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
  • 7+ years of experience in neural networks, deep reinforcement learning, preferably in gaming, fraud detection, cybersecurity, or fintech.
  • Strong programming skills in Python, SQL, and distributed computing frameworks (Spark, Hadoop, or similar).
  • Experience with TensorFlow, PyTorch, or Scikit-learn for ML model development.
  • Hands-on experience deploying ML models in cloud environments (AWS, GCP, Azure) and optimizing for low-latency inference.
  • Strong foundation in game theory, Nash equilibrium, and multi-agent learning.
  • Familiarity with bot detection methods, anti-automation models, and behavioral fingerprinting.
  • Experience working with large-scale structured and unstructured data to detect patterns and anomalies.
  • Proficiency in MLOps, CI/CD for AI models, and real-time fraud detection pipelines.

Preferred Experience

  • Experience working with real-time fraud detection systems in gaming, cybersecurity, or financial technology.
  • Understanding of multi-accounting fraud, bot networks, and adversarial machine learning.
  • Experience with graph analytics, Bayesian inference, and behavioral clustering for adversarial behavior modeling.
  • Strong analytical and problem-solving skills, with a passion for ensuring fairness in online gaming.
  • Prior work with multi-agent reinforcement learning (MARL) systems or inverse reinforcement learning (IRL) is a plus.

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Principal Data Scientist @A5 Labs
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type contract
Posted Apr 04, 2025
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📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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