Data Scientist

Posted 2 days ago

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About the role

  • 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.

Responsibilities

  • 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

  • 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

  • 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.

Job type

Full Time

Experience level

Mid levelSenior

Salary

$150,000 - $180,000 per year

Degree requirement

Bachelor's Degree

Tech skills

NumpyPandasPythonScikit-Learn

Location requirements

RemoteNorth America

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