Slope is bringing the B2B economy online with a category-defining modern payments platform. Powered by our clean data infrastructure, we are building one platform to seamlessly automate B2B payment workflows.

Slope has raised $187M in equity/debt to date from Sam Altman, Union Square Ventures, Y Combinator, Tiger Global, and founders of Dropbox, Doordash, Opendoor, and Plaid.

About Slope

Slope is building AI-driven underwriting and credit infrastructure to power the future of embedded capital. We partner with leading platforms to help small businesses access financing seamlessly at the point of need.

The Role

We are looking for a hands-on, full-stack Data Scientist to bridge the gap between raw platform sales data and pre-approval decisions. This role is central to improving how we leverage real-time merchant performance data to automate underwriting and enable instant credit access.

You will own the data science foundation that transforms noisy transactional data into actionable signals for credit decisioning. Think of the problems faced by Stripe Capital or Shopify Capital—this is the type of modeling and data product we need to build.

What You’ll Do

• Build and productionize models that map sales and payment data into reliable credit signals and pre-approval pipelines.

• Develop frameworks to handle fragmented, messy sales data and normalize it for underwriting use.

• Partner closely with Product, Engineering, and Risk to design pre-approval strategies and continuously improve model accuracy

• Conduct exploratory analyses to identify leading indicators of merchant growth, default risk, and repayment capacity.

• Translate insights into tools and dashboards that underwriters and product teams can act on.

• Establish best practices for experimentation, back-testing, and data validation in underwriting contexts.

What We’re Looking For

• 3–6+ years experience as a Data Scientist, ideally in fintech, lending, or capital products.

• Hands-on experience with sales/transaction data (e.g., card processing, e-commerce, platform transaction data).

• Background in underwriting, risk modeling, or capital-as-a-service products (Stripe Capital, Shopify Capital, Square Loans, etc. experience highly valued).

• Strong modeling and statistical chops: ideally has developed & shipped fraud or credit risk models E2E.

• Comfortable writing production-quality code (Python, SQL, ideally some familiarity with data pipelines).

• A bias for action—you enjoy building MVPs and iterating quickly with stakeholders.

• Excellent communication skills: able to translate technical insights into business outcomes.

Nice to Have

• Experience in credit risk, merchant lending, or BNPL.

• Familiarity with data architecture for high-volume transactional platforms.

• Prior startup experience (0→1 or scaling phase).

Why Join Us

• Chance to shape the backbone of Slope’s underwriting engine at a critical growth phase.

• Work alongside a high-caliber team backed by J.P. Morgan, Sam Altman, and world-class investors.

• Ownership: as the first dedicated DS IC in this area (sales-data driven underwriting), you’ll set the standard for data science in underwriting at Slope.

Node.js, React, JavaScript, Postgres