Summary
Join a fast-growing company with a strong mission and vision that puts people first, as an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.
Requirements
- 5+ years experience in Data Science or ML Engineering
- A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical 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
Responsibilities
- Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems
- Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy
- Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development
- Code Development: You’ll write production-grade code to deliver robust machine learning solutions
- Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance
- Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events
Benefits
- Competitive salary based on experience, with full medical and dental benefits
- High potential for growth
- Stock in an early-stage startup
- Flexible WFH and vacation policy
- Paid parental Leave
- Employee referral program
- 401K plan
