Senior Data Scientist

Pipe

Senior Data Scientist responsible for developing statistical models at Pipe. Impacting small businesses' financial outcomes through advanced data-driven insights and collaboration.

Posted 6/2/2026full-timeRemote • 🏈 Anywhere in North AmericaSenior💰 $180,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 partnering with engineering to deploy and monitor models in production.
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).
Deep fundamentals in probability, statistics, and machine learning, with the ability to choose the right tool for the problem.
Experience with credit risk modeling, underwriting, or other risk decision science domains such as insurance is strongly preferred.
Comfortable working cross-functionally and communicating complex modeling decisions clearly to both technical and non-technical stakeholders.
Strong written and verbal communication skills.
Bachelor's degree in Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field. Master's or PhD is a plus.

Benefits

Comp & perks

The best equipment to help you do your job.
Flexible vacation and work hours. We believe in a healthy work-life balance (really!)
Excellent health, dental, and vision insurance.
Generous parental leave for anyone who is growing their family, regardless of gender.
Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical modelsPythonSQLNumPyPandasscikit-learnprobabilitystatisticscredit risk modeling

Soft Skills

mentoringcommunicationcross-functional collaborationproblem-solvingtechnical review

Certifications

Bachelor's degreeMaster's degreePhD