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Dave

Fee-free mobile banking with cash advances

Staff Machine Learning Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 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.
  • Practical experience using AI tools throughout the modeling lifecycle, with sound judgment in evaluating outputs.
  • A bachelor's, master's, or doctoral degree in a quantitative field, or equivalent experience.

Responsibilities

  • Shape Dave's modeling strategy across underwriting, collections, fraud, marketing, and growth, influencing architecture, shared infrastructure, and investment priorities.
  • Establish model governance standards covering validation, monitoring, risk classification, documentation, change management, and independent review throughout the model lifecycle.
  • Build and improve credit models that inform underwriting, collections, and settlement strategies, balancing portfolio performance, profitability, and member outcomes.
  • Partner with Legal, Compliance, Risk, and sponsor-bank stakeholders to translate regulatory requirements into measurable controls and strengthen responsible modeling practices.
  • Advance business measurement through meaningful metrics, experimentation, causal inference, and incrementality analysis that inform product and portfolio decisions.
  • Develop AI-assisted workflows and mentor scientists to improve modeling efficiency, evaluation quality, and consistency across teams.

Desired Qualifications

  • Experience evaluating or governing generative AI applications, including model guardrails and monitoring.

About the Company

Dave

Fee-free mobile banking with cash advances

Dave is a fintech app that provides free or low-cost banking features to help people manage money more easily. Its mobile app offers cash advances on upcoming paychecks with no interest or credit checks, a debit card backed by a partner bank, and services like Side Hustle and LevelCredit to boost income and credit. Unlike many peers, Dave focuses on fee-free basics for lower- and middle-income users, avoiding overdraft, minimum balance, and ATM fees, while charging for optional subscriptions and add-ons. Its goal is to help users avoid common banking costs and improve financial stability through simple, accessible tools.

Company size
501-1,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
2016

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