Staff Data Scientist, Credit Risk ML — Hybrid

Robinhood; New York, Washington, Menlo Park (NY, District of Columbia, CA); Hybrid; USD 217,000 - 255,000; Full time

Benefits offered by this job

100% paid health insurance for employees

Bonus programs and equity ownership

Flexible benefits spending account

Job summary

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.

Qualifications

• You have 7+ years of experience in data science and credit modeling.
• Strong proficiency in SQL and Python for data analysis.
• Experience designing experiments and interpreting results.

Responsibilities

• Build credit risk models for customer acquisitions and management.
• Collaborate with analysts and managers to solve business problems.
• Deploy, maintain and monitor models in production.

Skills

Data science

Credit modeling

SQL

Python

Data analysis

Education

7+ years in data science

Tools

Analytical tools

Job description

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.