Step is hiring a
Senior Data Scientist

Summary

Join a fast-growing company with a strong mission and vision that puts people first, as we look for an experienced Machine Learning Engineer 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
• Experience, but not required, in working in financial systems, including lending or risk/fraud

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: Partner with Operations Team to quickly respond to rapidly evolving events

Benefits

• 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
• Paid parental Leave
• Employee referral program
• 401K plan