Step is looking to improve the financial future of the next generation by empowering teens to start their financial journey today and needs a Data Scientist to lead the Machine Learning engineering team to enhance Risk and Fraud detection systems
Requirements
- 5+ years experience in Data Science or ML Engineering
- Proficiency in SQL and Python
- Ability to communicate clearly with both technical and non-technical audiences
- Excellent data analysis skills
- Leadership experience, both technical and people management
- Experience developing and deploying machine learning models
- Experience, but not required, in working in financial systems, including lending or risk/fraud
Responsibilities
- Build and lead ML Team: Hire new team members, mentor the team members
- Build and Deploy ML Models: design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems
- Lead Technical Efforts: take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy
- Data Manipulation: use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development
- Code Development: write production-grade code to deliver robust machine learning solutions
- Design Experiments: apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance
- Cross-Function Partnership: Partner with Operations Team to quickly respond to rapidly evolving events
Other
- Competitive salary based on experience
- Full medical and dental benefits
- High potential for growth
- Stock in an early-stage startup
- Flexible WFH and vacation policy
