Data Scientist

🕒 June 2

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Pipe

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

💸 Finance

💳 Fintech

SaaS • Finance • Fintech

Pipe is a company specializing in embedded financial solutions. They offer customer-friendly financial tools integrated into the software that businesses use daily, providing streamlined access to capital through their platform. Pipe's solutions include embedded capital and branded business card offerings, allowing businesses to offer seamless financial services to their customers. They work with partners across various industries, including vertical SaaS and payments platforms, to deliver these advanced financial solutions. Pipe aims to drive growth by simplifying the complexities of financial products, enabling their partners to focus on customer needs.

📋 Description

• 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.