Palo Alto, CA
Step is a next-generation financial services company building the best banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. Step’s mission is to create a bank that gives you the tools to become smarter with your money and reward you along your financial journey. Step is a well-funded Series B company focused on disrupting banking through a differentiated mobile-first consumer experience. The founding team has an extensive background in FinTech and building successful consumer products and brands. 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 working on all parts of the business: Risk, Growth, Customer Experience to name a few.
- Fraud detection algorithms and systems that protect Step and its customers from fraud and financial loss. You will work with our fraud experts to understand all the details of what’s working well and where we need to fill gaps, and help build an in-house decisioning platform to quickly test, improve, ship, and track models.
- Systems to identify behavioral patterns among our users and match with correct incentives and recommendations.
- Systems to cleanse, classify and deduplicate metadata from a large dataset of financial transactions.
- Build and implement data solutions to help drive strategic business decisions.
- Leverage both new and existing data to increase the effectiveness and efficiency of our risk infrastructure.
- Specify, design, build and test data processing software.
- Build, test and monitor data retrieval and cleansing pipelines.
- Partner with operations to quickly respond to rapidly evolving events.
- Help build the next generation of data products at Step.
- 3+ years experience in data engineering and data science.
- A graduate degree in statistics, applied mathematics, computer science, physical sciences, or a similar technical field.
- Ability to communicate clearly with both technical and non-technical audiences.
- Excellent data analysis skills.
- Bias towards simple solutions that work.
- Experience working on financial systems, fraud and risk modeling.
- Experience developing and deploying machine learning / deep learning solutions.
- Competitive salary based on experience, with full medical and dental benefits
- Stock in an early stage startup that is growing
- Flexible WFH and vacation policy
- Free daily lunches
- Free snacks & drinks
- Monthly team events outside the office
- Monthly stipend for commuter benefits and card testing
- Office right next to Caltrain