Dave is hiring a Staff Machine Learning Scientist to set technical direction and governance for modeling across underwriting, collections, fraud, marketing, and growth. Responsibilities include building and improving credit models, establishing model validation and monitoring standards, measuring business impact via experimentation and causal inference, and partnering with Risk/Compliance. Required: 8+ years building production ML solutions, experience in consumer credit or lending, model risk/validation experience, and proficiency in Python, SQL, and frameworks like PyTorch, XGBoost, or Spark.

Dave seeks a Lead Machine Learning Scientist to personally develop, deploy, and optimize production ML solutions for fraud detection (synthetic identities, first-party fraud, account takeover) and risk decisioning. The role requires end-to-end ML lifecycle ownership, strong Python/SQL skills, experience with frameworks like TensorFlow/PyTorch and cloud ML infrastructure, and at least 7 years of hands-on ML experience. Position is full-time, virtual-first within the United States (except Hawaii) and reports to the Director, Risk Science.