Data Scientist

• 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.

• 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.

See all jobs on JobTailor

Data Scientist

Senior Data Scientist