Data Scientist

Title

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 help build the models that drive our credit and lending decisions, and learn how they get from a notebook into production. This is an entry-level role on a small team, so you’ll get real responsibility early and work closely with experienced data scientists and engineers. We care less about “here’s the model and here’s what it does” and more about what it changed for the business, the context behind it, and how clearly you explain it. 

What you’ll do:

• Build, test, and validate predictive models in Python under the guidance of senior data scientists
• Support the deployment of models into our decisioning engine and help monitor them after launch
• Dig into the data to understand why a model behaves the way it does, and keep asking questions until the answer holds up
• Help measure and communicate the business impact of your work
• Work with Risk, Finance, Product, and other stakeholders to understand business questions and turn them into analyses
• Learn the data vendors and tools we use and help evaluate them
• Take part in code and model reviews, and grow your technical skills through feedback and mentorship

What You Bring

• Bachelor’s or Master’s degree (or graduating soon) in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 0 to 2 years of professional experience as a Data Scientist or relevant fields
• Python skills and experience building predictive models through coursework, internships, or personal projects
• Solid grounding in statistics, shown in at least one project or accomplishment on your resume
• Evidence of impact, such as results from an internship or project, ideally with numbers behind them
• Curiosity that goes past “here’s a cool model,” and the habit of asking why until you understand the context
• Clear communication, written and verbal, with technical and non-technical audiences

What Separates You

• Internship or project experience in credit, lending, or fintech
• Exposure to SQL, version control, or deploying a model beyond a notebook
• Experience at a small or scaling company, or on a project you owned from start to finish
• Eagerness to take on many different tasks and learn from the team