September 10
• Step is looking for an experienced Machine Learning Engineer to build and deploy Machine Learning models for all things Risk and Fraud. • You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. • You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy. • You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development. • You’ll write production-grade code to deliver robust machine learning solutions. • You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance. • Partner with Operations Team to quickly respond to rapidly evolving events.
• 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.
• Competitive salary based on experience, with 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 💪🏻
Apply NowSeptember 6
Facilitate online Data Science courses for Flatiron School students.