Responsibilities
- Develop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisions
- Create credit, personalization, ranking, and pricing algorithms
- Design and analyze continuous experiments to provide insights and guide product and algorithm decisions
- Lead machine learning infrastructure projects, including machine learning operations and observability
Requirements
- 5+ years of data science experience
- Deep understanding of classification models, forecasting models and ML techniques
- Deep understanding of causal inference, experiment design and measurements
- Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems
- Advanced with SQL and Python
Work Arrangement
On-site — New York City
Additional Information
- This role is in-office in New York City.
- Relocation support
- Unlimited PTO
- 401(k)
- Extended maternity and paternity leave
