remote
Senior Data Scientist - Anti Cheating - a5labs
Data Scientist
Lead the design and deployment of advanced machine learning models to detect and prevent cheating behaviors across digital platforms, leveraging Python, statistical modeling, and robust data pipelines.
About the role
Key Responsibilities
- Develop and refine predictive models to identify cheating patterns in large-scale user data.
- Collaborate with engineering teams to integrate models into production systems with minimal latency.
- Conduct feature engineering, data preprocessing, and exploratory analysis to uncover actionable insights.
- Design experiments and A/B tests to validate model efficacy and impact on user experience.
- Present findings and recommendations to cross‑functional stakeholders, translating technical results into business value.
Requirements
- 5+ years of experience in data science or machine learning, preferably in fraud or anti‑cheating domains.
- Proficiency in Python, including libraries such as pandas, scikit‑learn, and XGBoost.
- Strong statistical background and experience with hypothesis testing, A/B testing, and causal inference.
- Hands‑on experience with SQL and data warehousing concepts.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningdata analysissql