Data Scientist

The role

Every claim LenderBox makes rests on models being right about messy, high-stakes financial documents and market data. You design, evaluate, and improve the models behind document understanding, market intelligence, and risk scoring, and you build the evidence that lets a bank trust the output.

Accuracy is the product here. The interesting work is not just training or prompting a model, it is proving with evals and golden datasets that the number on the screen traces to the right line of the right document.

What you will work on

• Evaluation frameworks and golden datasets for document extraction and analysis across CRE document types.
• Model selection and optimization: where a frontier model earns its cost, where a smaller or fine-tuned model wins, and how to measure the difference.
• The analytics behind market intelligence and risk scoring, built on the repository of structured deal data the platform compounds every day.
• Working with the engineering team to move what you prove in analysis into production behavior.

Who this is for

• Strong applied data science or ML experience: Python, SQL, statistics you can explain, and models you have shipped or materially improved.
• Experience evaluating LLM-based systems, or the rigor to build that evaluation muscle fast.
• You use AI tools daily in your own work, and you like problems where being measurably right matters. Helpful but not required: financial services or CRE data.

What we offer

Competitive base salary plus a meaningful ownership stake in the outcome. Direct lines to the CEO and the engineering team. Dallas based, on-site at our HQ.

LenderBox is an equal opportunity employer. If you need an accommodation at any point in this process, tell us and we will arrange it.

How to apply

Apply below with your resume and answer one question in a few sentences: tell us about a model that looked great in evaluation and failed in the real world. How did you find out, and what changed?

There is no right answer, and it will tell us more than a cover letter would.