Senior Data Scientist

The Role 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 .

Your key responsibilities will include: Independently developing and owning statistical models that forecast cash flows and other drivers of business and customer health. Designing and building models that optimize our product offerings to better serve our customers' needs.

Proactively exploring datasets to surface insights, and prototyping new approaches that create measurable value for customers. Taking full outcome ownership of deployed models, including performance monitoring, residual analysis, and iteration, in close collaboration with engineering.

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. Partnering with engineering and data engineering to productionize models, shape data infrastructure requirements, and improve our MLOps foundations.

Qualifications

We are looking for a motivated, intellectually curious Senior Data Scientist with the following qualifications: 4-7+ years of experience developing and deploying machine learning or statistical models in a production environment (inclusive of relevant post-undergraduate academic work) Strong proficiency in Python and the broader data science ecosystem (NumPy, Pandas, scikit-learn, etc.)

, and high proficiency in SQL. Familiarity with cloud-based MLOps platforms (e. g. , SageMaker, Vertex AI, or similar) and comfort partner