Staff Machine Learning Scientist

Dave is a US consumer finance app that offers banking, small cash advances and other credit products to people living paycheck to paycheck. It works virtual-first.

As Staff Machine Learning Scientist you would set the technical direction for modelling across credit, fraud, marketing and growth while staying hands-on. That covers credit models for underwriting, collections and settlements, model governance standards for validation, monitoring and documentation, and better business measurement through experiments, causal inference and incrementality analysis. You would also work with legal, compliance and the sponsor bank to turn regulatory requirements into measurable controls, and mentor other scientists.

They want 8+ years building production ML, including staff or principal level leadership, strong consumer credit and risk modelling experience, ideally in fintech or lending, and familiarity with model risk management and fair-lending rules. Advanced Python, SQL and statistical modelling are needed, with frameworks such as PyTorch, XGBoost or Spark.

Pay is $208,000 to $269,000 plus equity, with medical, dental and vision cover, a 401(k) match and flexible PTO. Remote anywhere in the United States except Hawaii.