Senior Machine Learning Engineer

🕒 April 1

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Step

51 - 200 employees

It isn’t easy learning about money. Schools don’t teach you and families don’t always talk about finances. Traditional banks make it even harder to get ahead by charging fees for standard services like checking accounts, atm's and even spending cards.

📋 Description

• Step is looking for an experienced Data Scientist 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. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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 💪🏻

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