Senior Data Scientist - Algorithms

The role

Step is looking for an experienced Machine Learning Engineer to build and deploy Machine Learning models for all things Risk and Fraud.

What you’ll do

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

What we’re looking for

• 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.