Senior Data Scientist - Anticheating
New
A
A5 LabsGame anti-cheating
Source API remote eligibility restrictions: JapanFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years in Data Science / Machine Learning roles
- Required Skills
- PythonSQLPyTorchTensorflowDeep Learning
Requirements
- Have 4+ years in Data Science or Machine Learning roles.
- Have a strong foundation in deep learning.
- Have a strong foundation in statistical modeling.
- Have experience in fraud detection/AML, risk modeling, anomaly detection, or behavioral analytics.
- Have experience with Python.
- Have experience with PyTorch or TensorFlow.
- Have experience with SQL and data pipelines.
- Have experience working with large-scale datasets.
- Experience with LSTM or Transformer sequence models is a plus.
- Experience with large-scale behavioral data or real-time detection systems is a plus.
- Exposure to reinforcement learning, game AI, or adversarial systems is a plus.
Responsibilities
- Design machine learning and deep learning models to detect cheating patterns.
- Model player behavior sequences, strategies, and anomalies.
- Distinguish high-skill play from AI-assisted play and natural variance from exploitation.
- Develop scalable offline and real-time detection pipelines.
- Build feature systems from gameplay logs and event streams.
- Design evaluation frameworks for detection accuracy and robustness.
- Apply sequence modeling, anomaly detection, graph-based methods, and behavioral embeddings.
- Explore reinforcement learning, game-theoretic modeling, and adversarial machine learning.
- Work with gameplay AI/RL researchers and backend/data engineering teams.
- Translate models into production systems.
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