
Senior Data Scientist
- San Diego, CA
- Permanent
- Full-time
- Develop and refine fraud and risk modeling strategies, supporting standard processes for model development, deployment, and experimentation.
- Contribute to innovation in ML for fraud detection, real-time inference, and anomaly detection, working closely with engineering and risk teams.
- Design and implement A/B tests to evaluate the impact of new product features and initiatives.
- Apply causal inference techniques to assess the effectiveness of fraud detection, risk management, and user retention efforts.
- Analyze and optimize key business metrics related to revenue, conversion, and engagement.
- Enhance experimentation frameworks, ensuring models and risk mitigation strategies are rigorously validated.
- Collaborate with collaborators across finance, risk, and product teams to drive data-informed decision-making.
- Master's or Ph.D. in a quantitative field (Computer Science, Data Science, Statistics, etc.).
- 5+ years of experience in data science, ML, and fraud/risk analytics, preferably in fintech, payments, or e-commerce.
- Strong expertise in causal inference, anomaly detection, supervised/unsupervised learning, and real-time ML.
- Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn).
- Experience designing and analyzing A/B tests and applying causal inference techniques.
- Experience with graph-based fraud detection, deep learning for risk, or adversarial ML techniques.
- PlayStation fan