Staff Data Scientist

Title

Staff Data Scientist

Team

Credit Analytics. Builds the predictive models that drive our credit and lending decisions. We turn deep knowledge of our data into models that are deployed in production, and we work closely with Risk, Finance, Product, and Engineering to improve how we underwrite, price, and manage our customers’ credit.

Location: Austin, TX

Work Arrangement: Austin – Hybrid or Remote

About the Role

You’ll build the models, take them into production, and show what they changed for the business. We’re a small company, so you’ll wear many hats and work with engineering to put your models into our decisioning engine. We care less about “here’s the model and here’s what it does” and more about the dollars and percentages it moved, the context behind it, and how clearly you explain it.

What you’ll do:

• Design, build, and validate predictive models in Python that inform credit and lending decisions
• Partner with engineering to deploy models into our decisioning engine and monitor them after launch
• Dig into the data to understand why a model behaves the way it does, and keep digging until the answer holds up
• Measure and communicate the business impact of your work in dollars and percentages
• Work with Risk, Finance, Product, and other stakeholders to turn business questions into modeling problems and recommendations
• Evaluate and work with the data vendors and tools we use
• Set the technical bar for the team through code and model review, and mentor other analysts and data scientists

What You Bring

• 8+ years of professional data scientist experience
• Strong Python skills and a record of building predictive models
• Statistical rigor, shown in at least one accomplishment on your resume
• Business impact you can quantify, with the dollars and percentages to show it
• Curiosity that goes past “here’s a cool model,” and the habit of asking why until you understand the context
• Clear communication with both technical and non-technical audiences
• Experience taking models from development to production

What Separates You

• Experience in credit and lending with fintech as a plus
• Experience working with third-party data vendors
• Experience at a small or scaling company where you owned work end to end
• Comfort moving between hands-on modeling, stakeholder partnership, and mentoring