Data Scientist (Senior & Staff) at Slope (S21)
Buy Now, Pay Later for B2B
San Francisco
1+ years
About Slope

Slope (Y Combinator S21 batch) provides Buy Now, Pay Later for B2B businesses. Slope enables any business to pay with installments at checkout. They are live on fast-growing B2B marketplaces, secured debt capital partnerships, and regulation compliance. Buy Now, Pay Later is the foundation to rebuilding the messy cross-border B2B payments infrastructure — our vision is to be Stripe for global B2B.

About the role
Skills: Python, TensorFlow, Keras

About Us

We empower growing businesses by making access to capital easy.

The inspiration for Slope came from Lawrence’s parents having spent the past three decades in the wholesale business, importing products and selling them to small businesses across Brazil. From having worked with them, we realized small mom-and-pop stores are limited by their working capital and that business loans are complicated to navigate.

At Slope (YC S21), we are building Buy Now, Pay Later for B2B businesses. We enable any business to pay with installments at checkout. Buy Now, Pay Later is the foundation to rebuilding the messy cross-border B2B payments infrastructure — our vision is to be Stripe for global B2B.

In a span of 7 months, we went from pre-product to processing over $1MM in monthly transaction volume – growing 121% MoM. We've also well funded – with a total of $29MM to date.

✨ Why work with us?

  • You will get the chance to be an early team member at a fast-growth YC startup. We truly believe that it's “slope” — not where you start but how fast we are growing and iterating.
  • We are growing insanely fast (growing 121% each month for the past 6 months, with signed contracts to 20X, and a growing waitlist that’s dwarfing our ability to keep up). This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point!
  • We’re a tight-knit, intense team, where you'll learn a ton and be trusted with extreme ownership.
  • Help small underdog business owners thrive and compete against large corporations.

🦾 The Role

  • Build the core risk models powering underwriting. The outputs of these models will determine who we lend to, how much we lend, and what terms we offer.
  • Own the process E2E – from data cleaning & experimentation to model deployment, validation, and monitoring.
  • Proactively seek out & tap into new data sources, such as credit databases, social media presence, location-based data, satellite/street views. Fold promising sources into our production pipeline.
  • Collaborate closely with:
    • Engineering & Data Engineering: to shape and improve our data engine
    • Risk & Credit: to shape our underwriting strategy and ensure we're compliant

📈 Requirements

  • 2+ years in Data Science or Machine Learning in a production setting
  • Willing to work in person at SF office
  • Being proactive and a fast-learner (Slope! ⚡)
  • Experience with a core ML library (i.e., PyTorch, TF, Keras) and the Python DS stack (Pandas, Scikit, etc.)
  • Experience working with relational databases, especially Postgres

🚀 Bonus points

  • Entrepreneurial mindset (we encourage all employees to be future founders and this can be a great stepping stone towards that)
  • Customer-centric and passionate about helping small businesses grow
  • Previous experience building risk models for underwriting
  • Previous experience at a high-growth, fast-paced startup

✅ Apply

If you or someone you know is interested, please send us your resume and any additional info (live projects, portfolio, github) to founders(at)

If you refer us someone we hire — we’ll get you VIP seats to any Sacramento Kings game 😉


Node.js, React, JavaScript, Postgres

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