Data Scientist

<p><strong><span style="font-size: 10pt;">The Role</span></strong></p> <p><span style="font-size: 10pt;">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, &nbsp;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.&nbsp;</span></p> <p><strong><span style="font-size: 10pt;">Your key responsibilities will include:</span></strong></p> <ul> <li><span style="font-size: 10pt;">Partner with senior scientists to forecast cash flows and other drivers of business health using statistical and ML modeling.</span></li> <li><span style="font-size: 10pt;">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.</span></li> <li><span style="font-size: 10pt;">Proactively mine our datasets for insight, and prototype new models that move the needle for customers and the business.</span></li> <li><span style="font-size: 10pt;">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.</span></li> </ul> <p><strong><span style="font-size: 10pt;">Qualifications</span></strong></p> <p><span style="font-size: 10pt;">We're looking for a motivated, curious Data Scientist with:</span></p> <ul> <li><span style="font-size: 10pt;">3-5+ years building ML models, including training, evaluation, and deployment.</span></li> <li><span style="font-size: 10pt;">Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).</span></li> <li><span style="font-size: 10pt;">Working comfortably with agentic coding tools (Claude Code, Cursor, or similar) and standard dev tooling (GitHub, VS Code).</span></li> <li><span style="font-size: 10pt;">Strong fundamentals in probability, statistics, and machine learning.</span></li> <li><span style="font-size: 10pt;">Clear written and verbal communication; comfortable collaborating across functions and surfacing progress, tradeoffs, and results.</span></li> <li><span style="font-size: 10pt;">Bachelor's in CS, Applied/Financial Math, Statistics, Economics, or a related technical field. Master's is a plus, not a requirement.</span></li> <li><span style="font-size: 10pt;">Bonus: prior experience in credit risk modeling, underwriting, or adjacent risk decision sciences (insurance pricing, actuarial, fraud) is a strong plus.</span></li> </ul> <p><strong><span style="font-size: 10pt;">In general, you will be successful at Pipe if:</span></strong></p> <ul> <li><span style="font-size: 10pt;">You want to make a real dent at a fast-moving company.</span></li> <li><span style="font-size: 10pt;">You hold yourself and your teammates to a high bar.</span></li> <li><span style="font-size: 10pt;">You have a strong technical foundation and want to put it to work helping customers succeed.</span></li> <li><span style="font-size: 10pt;">You take end-to-end ownership and like working across functions.</span></li> <li><span style="font-size: 10pt;">You want to be in an environment that values and rewards excellence.</span></li> </ul> <p><strong><span style="font-size: 10pt;">Compensation and Benefits</span></strong></p> <p><br><span style="font-size: 10pt;">We are a fully remote company and we believe in taking care of our employees. As a Pipe employee, you’ll receive:</span></p> <ul> <li><span style="font-size: 10pt;">The best equipment to help you do your job.</span></li> <li><span style="font-size: 10pt;">Flexible vacation and work hours. We believe in a healthy work-life balance (really!)</span></li> <li><span style="font-size: 10pt;">Excellent health, dental, and vision insurance.</span></li> <li><span style="font-size: 10pt;">Generous parental leave for anyone who is growing their family, regardless of gender.</span></li> <li><span style="font-size: 10pt;">Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.</span></li> </ul> <p><span style="font-size: 10pt;">The annual US base salary range for this role is $150,000 - $180,000. This salary range may be inclusive of several career levels at Pipe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.</span></p>