Data Scientist at Slope (S21)
$150K - $250K  •  
The B2B Payments Platform
San Francisco, CA, US
Full-time
3+ years
About Slope

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 the role

About Us

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.


✨ Why work with us?

  • You’ll get the chance to be an early team member at a fast-growth YC startup. We truly believe it’s all about slope — not where you start but how fast we are growing and iterating
  • We are growing insanely fast and are well-funded. 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 have ownership
  • We have raised capital from the some of the best VCs (Y Combinator, Union Square Ventures) and angels (Sam Altman and founders of Doordash, Dropbox, Plaid, Opendoor, Unity) in the world 
  • Work with seasoned second-time founders
  • Help transition the massive B2B economy online and help small business owners thrive

✅ What You’ll Do

  • Build and deploy new models and constantly iterate on core risk models by developing new features, evaluating different modeling techniques and create differentiated strategies for each customer segment
  • Manage large datasets, ensuring data quality, consistency, and reliability throughout the modeling process
  • Evaluate new private and/or public data sources; interact with vendors to assess external data products
  • Monitor model performance and proactively identify model deficiencies
  • Collaborate closely with credit risk, customer success and GTM to align data science effort with business goals; provide timely support for questions or issues impacting customer experience or credit results
  • Collaborate with data engineering teams to optimize data infrastructure and workflows
  • Prepare documentation and reports for model development and validation processes; ensure model compliance with regulatory requirements and internal risk management standards

📈 Requirements

  • 5+ years experience in advanced statistical modeling with strong technical skills, preferably in both model development and deployment
  • Master’s or Ph.D. in Quantitative Finance, Statistics, Computer Science, Mathematics, Economics, or related field
  • Experienced with machine learning concept and risk modeling techniques such as regression, decision trees and boosting; experience with building data products using LLM is strongly preferred
  • Strong skill set with Python (including sklearn, pandas, numpy, etc.) and SQL
  • Experience with consumer / small business lending and payments risk management (credit and/or fraud); knowledge of using alternative data sources for underwriting, such as e-commerce and accounting data, is strongly preferred
  • Excellent written and verbal communication skills; ability to clearly explain data science work and collaborate with stakeholders to execute
  • Attention to detail, strong work ethic, and a relentless drive; enjoy a fast-paced and results-driven culture
  • Excel and enjoy a collaborative and in-person workplace
  • Comfortable with handling ambiguity and creating processes from scratch. We are growing fast and still learning
  • A demonstrated ability to get stuff done. In an ideal world, you’ve worked in a fast-growing company and know what we should be doing today, in one year, and in two years
  • Self-directed and able to work with minimal supervision
  • Iterative mindset

🚀 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 fintech infrastructure
  • Previous experience at a high-growth, fast-paced startup
Technology

Node.js, React, JavaScript, Postgres

Other jobs at Slope

fulltimeSan Francisco, CA / Remote (Salt Lake City, UT, US)$100K - $200K3+ years

fulltimeSan Francisco, CAFull stack$100K - $250K3+ years

fulltimeSan Francisco, CA, US$100K - $200K1+ years

fulltimeSan Francisco, CA, USData science$150K - $250K3+ years

fulltimeSan Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US$90K - $130K3+ years

fulltimeSan Francisco, CA, US$130K - $200K3+ years

fulltimeSan Francisco, CARecruiter$90K - $130K3+ years

fulltimeSan Francisco, CA, USFull stack$100K - $250K3+ years

Hundreds of YC startups are hiring on Work at a Startup.

Sign up to see more ›