Note: The job is a remote job and is open to candidates in USA. Step is a next-generation financial services company focused on disrupting the banking industry. They are seeking a Senior Machine Learning Engineer to build and deploy machine learning models aimed at enhancing their Risk and Fraud detection systems.
Responsibilities
- Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss
- 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
Skills
- 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
- Experience developing and deploying machine learning models
- Experience, but not required, in working in financial systems, including lending or risk/fraud
Benefits
- Generous Medical, Dental, Vision, and company-paid Life Insurance
- 401k Plan with Safe Harbor company-matching
- Flexible vacation policy and paid company holidays
- Company-provided technology package
Company Overview