Wave Mobile Money
United States
New
Senior Data Scientist (Remote)
Data Science Full-time 25m ago
- Data Visualization
- Embedded
- Machine Learning
- Python
A
Senior Data Science Analyst – AI Anti-Cheat & Game Integrity (Poker)
Remote
AI Summary
Seeking a Senior Analyst with deep poker domain expertise to build AI-driven fraud detection and game integrity systems. This role involves data engineering, feature engineering, and production monitoring for online poker platforms. Requires hands-on poker experience and strong analytical and technical skills.
Key Highlights
Strict requirement for hands-on poker domain expertise.
Build next-generation fraud detection and game integrity systems for online poker.
Collaborate with Data Scientists, RL researchers, and ML engineers.
Key Responsibilities
Design, build, and maintain scalable data pipelines for ingesting and transforming multi-modal gameplay, device, and network data.
Partner with Data Scientists and RL researchers to develop high-value engineered features for detecting bots, collusion, and unfair play.
Conduct exploratory data analysis (EDA) to uncover meaningful signals and improve detection model performance.
Develop monitoring frameworks to track production model health, including precision, recall, and false-positive rates across regions and products.
Perform root-cause analysis for model drift, data pipeline failures, or abnormal spikes in flagged behavior.
Collaborate with ML engineers to refine training datasets, labeling strategies, and evaluation metrics.
Act as a bridge between Data Science, Reinforcement Learning, Engineering, and Operations teams.
Translate solver outputs, RL strategies, and gameplay signals into operational anti-cheat intelligence.
Provide clear analytical insights and reporting to product leaders, executives, and partner operators.
Support integration of AI anti-cheat capabilities into live poker platforms.
Ensure data quality, governance, consistency, and compliance across massive datasets (billions of hands, device logs, clickstreams).
Build dashboards and analytical reporting systems to monitor detection effectiveness and investigation outcomes.
Support incident response and fraud investigations through deep gameplay pattern analysis and validation of model outputs.
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Technical Skills Required
Benefits & Perks
Competitive salary
Performance bonus
Generous paid leave
Fully remote, global team
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Nice to Have
Familiarity with reinforcement learning concepts in strategic or competitive games.
Ability to convert solver outputs or RL predictions into production-ready anti-cheat features.
Experience collaborating with Data Scientists and ML Engineers to iterate on model performance.
Experience in gaming anti-cheat, fraud detection, or trust & safety systems.
Background in graph analysis, network relationship detection, or anomaly detection.
Experience with real-time or near real-time analytics pipelines.
Prior work within major online poker platforms or integrity teams.
Job Description
⚠️ Important Requirement — Poker Domain Expertise
Hands-on poker expertise is a strict and non-negotiable requirement for this role.
Senior Analyst – Data Science (AI Anti-Cheat, Poker)
Location: Remote / Global
Team: AI Anti-Cheat & Game Integrity
Employment Type: Full-time
Role Overview
We are hiring a Senior Analyst – Data Science (AI Anti-Cheat, Poker) to help build next-generation fraud detection and game integrity systems for large-scale online poker platforms.
This role sits at the intersection of data engineering, ML-ready feature engineering, reinforcement-learning-driven strategy analysis, and production anti-cheat monitoring.
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