Senior Data Scientist
3 weeks ago
We are seeking an experienced Senior Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud. The ideal candidate will have a strong background in statistics, economics, or a related field, and will be proficient in SQL and Python.
Responsibilities:- Design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems.
- Take the lead in the Risk/Fraud area, providing technical direction and helping shape the team's strategy.
- Use SQL to efficiently fetch, transform, and manipulate data, ensuring it's ready for model development.
- Write production-grade code to deliver robust machine learning solutions.
- Apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
- Partner with the Operations Team to quickly respond to rapidly evolving events.
- 5 years of experience in Data Science or ML Engineering.
- A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a related field.
- Proficiency in SQL and Python.
- Ability to communicate clearly with both technical and non-technical audiences.
- Excellent data analysis skills.
- Experience developing and deploying machine learning models.
- Experience, but not required, in working in financial systems, including lending or risk/fraud.
- Remote work location.
- 5 days of work per week.
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