Data Scientist, Credit Risk ML — Hybrid

Robinhood is on the lookout for a Staff Data Scientist to develop credit risk models that enhance customer acquisition and management strategies. This pivotal role involves collaborating with credit analysts and product managers to deliver impactful models that drive decisions in lending.

The ideal candidate will possess 7+ years of experience in data science, particularly in credit modeling, and have strong skills in SQL and Python. Join us to accelerate innovation in finance with a focus on responsible lending practices.

We offer competitive compensation, including bonuses and robust benefits, while our office experience is designed to foster a high-performing team culture.

We are looking to fill the Staff Data Scientist, Credit Risk ML — Hybrid position at Robinhood in Menlo Park, CA, United States.

We have an opening for a Staff Data Scientist, Credit Risk ML — Hybrid in Menlo Park, CA, United States within IT & Technology.