Pipe Technologies

Data Scientist

Remote, North America

Sponsorship not specified$150k-$180kDetected 14 days ago

PythonGitMachine Learningscikit-learnPandasNumPyData ScienceStatisticsForecastingCommunicationActuarial ScienceUnderwritingRisk Modeling

About the role

We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the craft.
The problems are real: credit underwriting, risk management, and cash-flow forecasting for SMBs across five countries.
You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

You'll work in an agentic development environment, such as Claude Code, Cursor, and similar, to build, ship, and iterate on statistical and ML models faster than a traditional DS workflow allows.
Own model outcomes end-to-end.
Design and build models that make our capital products better for customers and deliver positive return assets.

We're looking for a motivated, curious Data Scientist with:
3-5+ years building ML models, including training, evaluation, and deployment.
Strong fundamentals in probability, statistics, and machine learning.
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.
In general, you will be successful at Pipe if:
You want to make a real dent at a fast-moving company.
You hold yourself and your teammates to a high bar.
You have a strong technical foundation and want to put it to work helping customers succeed.
You take end-to-end ownership and like working across functions.

prior experience in credit risk modeling, underwriting, or adjacent risk decision sciences (insurance pricing, actuarial, fraud) is a strong plus.
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).
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.

Partner with senior scientists to forecast cash flows and other drivers of business health using statistical and ML modeling.
Flexible vacation and work hours.
Excellent health, dental, and vision insurance.
Generous parental leave for anyone who is growing their family, regardless of gender.

Proactively mine our datasets for insight, and prototype new models that move the needle for customers and the business.
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.
We want you to make a mark on our culture.

This listing is sourced directly from Pipe Technologies's careers page and normalized into a canonical job model.