Data Scientist

About this role

About Pipe

Pipe builds cutting-edge embedded financial solutions to help small businesses and software companies build something bigger. We’re a remote-first team of problem solvers who build and ship at a high velocity. We’re customer obsessed and leave our egos at the door. If this sounds fun, join us!

The Role

We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the craft. You'll work in an agentic development environment, such as Claude Code, Cursor, and similar, to build, ship, and iterate on statistical and ML models faster than a traditional DS workflow allows. The problems are real: credit underwriting, risk management, and cash-flow forecasting for SMBs across five countries. You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

Your key responsibilities will include:

• Partner with senior scientists to forecast cash flows and other drivers of business health using statistical and ML modeling.
• Design and build models that make our capital products better for customers and deliver positive return assets. Sharper pricing, lower losses, growth and offers that fit how SMBs actually run.
• Proactively mine our datasets for insight, and prototype new models that move the needle for customers and the business.
• Own model outcomes end-to-end. Not just deployment bespoke to the platforms Pipe serves (e.g., UberEats and Housecall Pro), but ongoing performance, residual analysis, drift detection, and the judgment calls about when a model needs to be retrained, replaced, or retired. You'll work closely with product, risk peers and engineering to make this real in production

Qualifications

We're looking for a motivated, curious Data Scientist with:

• 3-5+ years building ML models, including training, evaluation, and deployment.
• Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).
• Working comfortably with agentic coding tools (Claude Code, Cur...