Senior Data Scientist

<p><strong><span style="font-size: 10pt;">The Role</span></strong></p> <p><span style="font-size: 10pt;">We are looking for a hands-on Senior Data Scientist who uses Python and agentic development tools, like Claude Code or similar, to design and implement statistical and machine learning models that directly impact our customers' financial outcomes. You will own the full modeling lifecycle across credit underwriting, risk management, and forecasting, and play a key role in shaping how we use data to serve small businesses better, and contribute to the technical direction of the broader data science teamThere are significant opportunities to grow and lead at Pipe.</span></p> <p><strong><span style="font-size: 10pt;">Your key responsibilities will include:</span></strong></p> <ul> <li><span style="font-size: 10pt;">Independently developing and owning statistical models that forecast cash flows and other drivers of business and customer health.</span></li> <li><span style="font-size: 10pt;">Designing and building models that optimize our product offerings to better serve our customers' needs.</span></li> <li><span style="font-size: 10pt;">Proactively exploring datasets to surface insights, and prototyping new approaches that create measurable value for customers.</span></li> <li><span style="font-size: 10pt;">Taking full outcome ownership of deployed models, including performance monitoring, residual analysis, and iteration, in close collaboration with engineering.</span></li> <li><span style="font-size: 10pt;">Mentoring junior team members, raising the technical bar through code and design review, and contributing to our data science best practices and long-term tooling roadmap.</span></li> <li><span style="font-size: 10pt;">Partnering with engineering and data engineering to productionize models, shape data infrastructure requirements, and improve our MLOps foundations.</span></li> </ul> <p><br><strong><span style="font-size: 10pt;">Qualifications</span></strong></p> <p><span style="font-size: 10pt;">We are looking for a motivated, intellectually curious Senior Data Scientist with the following qualifications:</span></p> <ul> <li><span style="font-size: 10pt;">4-7+ years of experience developing and deploying machine learning or statistical models in a production environment (inclusive of relevant post-undergraduate academic work)</span></li> <li><span style="font-size: 10pt;">Strong proficiency in Python and the broader data science ecosystem (NumPy, Pandas, scikit-learn, etc.), and high proficiency in SQL.</span></li> <li><span style="font-size: 10pt;">Familiarity with cloud-based MLOps platforms (e.g., SageMaker, Vertex AI, or similar) and comfort partnering with engineering to deploy and monitor models in production.</span></li> <li><span style="font-size: 10pt;">Personal or professional experience with, or strong interest in adopting, agentic development workflows and modern AI-assisted coding tools (e.g., Claude Code, Copilot, or similar).</span></li> <li><span style="font-size: 10pt;">Deep fundamentals in probability, statistics, and machine learning, with the ability to choose the right tool for the problem.</span></li> <li><span style="font-size: 10pt;">Experience with credit risk modeling, underwriting, or other risk decision science domains such as insurance is strongly preferred.</span></li> <li><span style="font-size: 10pt;">Comfortable working cross-functionally and communicating complex modeling decisions clearly to both technical and non-technical stakeholders.</span></li> <li><span style="font-size: 10pt;">Strong written and verbal communication skills.</span></li> <li><span style="font-size: 10pt;">Bachelor's degree in Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field. Master's or PhD is a 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 join a fast-growing startup and make a real impact on customers.</span></li> <li><span style="font-size: 10pt;">You want to be part of a team that holds each other to high standards.</span></li> <li><span style="font-size: 10pt;">You have a strong technical foundation and are passionate about using your skills to help small businesses succeed.</span></li> <li><span style="font-size: 10pt;">You take end-to-end ownership of your work and enjoy collaborating across functions.</span></li> <li><span style="font-size: 10pt;">You thrive 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><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 $180,000 - $220,000. 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>