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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!
The role
Step is looking for an experienced Data Scientist 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: Parter 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.
- 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 💪🏻
Top Skills
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
