Want the best mobile financial app? Millions of people use Dave to get cash with no credit check, side hustles, and banking accounts with fewer fees. Join now. Backed by Norwest.
About the role
We're looking for a Staff Machine Learning Scientist to shape how Dave builds, evaluates, and governs machine learning models across the business. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of experience building production machine learning solutions, including demonstrated technical leadership at staff or principal scope
- Strong experience with consumer credit modeling, portfolio economics, and risk-based decision systems, ideally in fintech or consumer lending
- Experience with model validation, model risk management, or independent review in regulated environments, including familiarity with fair-lending and adverse-action considerations
- Advanced proficiency in Python, SQL, statistical modeling, and machine learning frameworks such as PyTorch, XGBoost, or Spark
- Experience designing experiments, defining business metrics, and measuring incremental impact through causal inference or holdout methodologies
- Demonstrated ability to influence technical direction and communicate complex trade-offs across senior stakeholders
More about this role
Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option.
Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most.
We're looking for a Staff Machine Learning Scientist to shape how Dave builds, evaluates, and governs machine learning models across the business.
You'll set technical direction across credit, fraud, marketing, and...
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