remote
Data Scientist II - Uber
Data Scientist
Data Scientist II focused on fraud analytics, building predictive models and rules to detect and mitigate risk using Python, SQL, and advanced machine learning techniques.
About the role
Key Responsibilities
- Conduct statistical analyses to uncover fraud patterns and risk factors in large datasets.
- Develop, train, and evaluate machine learning models for fraud detection and prevention.
- Design and maintain rule‑based systems that adapt to evolving fraud behaviors.
- Collaborate with cross‑functional teams to translate insights into actionable product features.
- Communicate findings and recommendations to stakeholders through clear visualizations and reports.
Requirements
- Proficiency in Python and SQL for data manipulation and model development.
- Strong foundation in statistical analysis and machine learning algorithms.
- Experience building fraud detection or risk‑management models.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
- Effective communication skills for presenting complex insights to non‑technical audiences.
Skills
pythonsqlmachine learning