Data Scientist

Pipe

Data Scientist utilizing AI tooling to build and iterate on statistical and ML models at Pipe Technologies, enhancing fintech services for SMBs across five countries.

Posted 6/2/2026full-timeRemote • 🏈 Anywhere in North AmericaMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

3-5+ years building ML models, including training, evaluation, and deployment.
Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).
Working comfortably with agentic coding tools (Claude Code, Cursor, or similar) and standard dev tooling (GitHub, VS Code).
Strong fundamentals in probability, statistics, and machine learning.
Clear written and verbal communication; comfortable collaborating across functions and surfacing progress, tradeoffs, and results.
Bachelor's in CS, Applied/Financial Math, Statistics, Economics, or a related technical field. Master's is a plus, not a requirement.
Bonus: prior experience in credit risk modeling, underwriting, or adjacent risk decision sciences (insurance pricing, actuarial, fraud) is a strong 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 modelingmodel trainingmodel evaluationmodel deploymentprobabilitystatisticsdata miningresidual analysisdrift detection

Soft Skills

clear communicationcollaborationcross-functional teamworkjudgmentproblem-solving