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About the role
Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.
What they're looking for
- 5+ years experience in Data Science or ML Engineering
- 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
More about this role
Step's mission is to improve the financial future of the next generation. Millions of people use our banking and borrowing products to manage, build, and grow their money. Now that we're part of Beast Industries – the company behind MrBeast – we're poised for a new phase of growth to deliver financial literacy and tools at massive scale.
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.
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