Gen Z is the generation of the side hustle. 💪🏻 They’re creators. 👩🎤 They’re freelancers. 🧑💻 They’re investors. 👩💼 And they’re not afraid to take on challenges, especially when it comes to their finances - and we’re here for it.
Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We’re on a mission to improve the financial future of the next generation by empowering teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience.
People love our product. We eclipsed over 5.5M million customers, and if you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you!
Step is looking for an experienced Data Scientist to lead Step's Machine Learning engineering team. This is a small team, so we are looking for someone who is hands-on, assuming more management responsibilities as the team grows.
What you’ll do- Build and lead ML Team: Hire new team members, mentor the team members.
- 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.
- 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.
- Leadership experience, both technical and people managment.
- Experience developing and deploying machine learning models.
- Experience, but not required, in working in financial systems, including lending or risk/fraud.
This role is available remotely within the U.S. or in our Palo Alto, CA office.
- 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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