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Jobs · Engineering · California

Staff Data Scientist, ML (Credit Risk)

Robinhood · Menlo Park, CA · 1 wk ago
On-siteEngineering$217k–$255k/yrFull-time

About the role

The Credit Card business team at Robinhood is seeking a Staff Data Scientist to build credit risk models that enable us to better serve our customers and make responsible lending decisions. This role involves developing and deploying models for customer acquisition and management, collaborating with credit analysts and product managers, and working with both traditional and non-traditional data sources.

Responsibilities

  • Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
  • Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
  • Leverage traditional and non-traditional data sources to build highly predictive risk models
  • Create rich datasets leveraging both traditional and non-traditional data sources
  • Work on innovative tools to generate powerful features that boost models
  • Deploy, maintain and monitor models in production
  • Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings

Requirements

  • 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
  • Experience with non-traditional credit data (such as cash flow) is a plus
  • Communicate clearly with both technical and non-technical partners

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field
  • Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field preferred

Skills

  • Strong programming skills in Python
  • Experience with machine learning and statistical modeling
  • Experience with data preprocessing and feature engineering
  • Experience with credit scoring and risk modeling
  • Experience with data visualization and reporting tools

Benefits

  • Challenging, high-impact work to grow your career
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top-tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Exceptional office experience with catered meals, events, and comfortable workspaces

Pay

This role is eligible for performance-based compensation, bonuses, and equity. Base pay for the successful applicant will depend on a variety of job-related factors, including education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.

Schedule

This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week.

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