Robinhood
Staff Data Scientist, ML (Credit Risk)
$170K–$255K
Menlo Park, CA +5 · Staff · Full-time · Posted Jun 10, 2026
- Location
- Menlo Park, CA
New York, NY
Washington, DC
Menlo Park, CA
New York, NY
Washington, DC - Experience
- 7+ years in data science and credit modeling.
About the job
Build and deploy credit risk models that support lending decisions, including credit approvals, credit limits, and customer management.
What you'll do
- Develop credit risk models using traditional and non-traditional data, from data preparation through deployment.
- Collaborate with credit analysts and product managers to design models and experiments that address business needs.
- Deploy, maintain, and monitor production models; communicate results to senior stakeholders.
What they ask for
- 7+ years of experience in data science and credit modeling.
- Strong proficiency in SQL and Python for data analysis and modeling.
- Experience designing experiments and interpreting results to guide product decisions.
- Domain knowledge and expertise in traditional credit data.
Nice to have
- Experience with non-traditional credit data, such as cash flow.
Pay
$217,000 — $255,000 USD (base salary); $191,000 — $224,000 USD (base salary); $170,000 — $199,000 USD (base salary)
Tools
SQL, Python
AI focus
Build predictive credit risk models using traditional and non-traditional data to inform lending decisions; the company also provides employees access to AI tools and AI skill-building.
Model-written summary · the original posting is authoritative