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