Senior Machine Learning Engineer

• Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud

• 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

Benefits

• Competitive Medical, Dental, Mental Health & Wellbeing benefits

• 12 weeks paid parental leave, baby bonus to support unexpected expenses and flexible return to work

• 401k Retirement Plan

• Annual Professional Development Reimbursement Program

• Flexible Work From Home and Time Off Policy

• Stock Options- Experience developing and deploying machine learning models

• 5+ years experience in Data Science or ML Engineering

• Experience, but not required, in working in financial systems, including lending or risk/fraud

• Proficiency in SQL and Python

• Excellent data analysis skills

• A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field

• Ability to communicate clearly with both technical and non-technical audiences