Robinhood is hiring a Staff Data Scientist, ML (Credit Risk) in Money Growth Marketing - Data Science Division — Menlo Park, CA; New York, NY; Washington, DC. The overview below is synthesized from the employer posting on boards.greenhouse.io: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
About the team + role
Company context from the listing:
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers.
The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily.
As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions.
This role is based in our Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
Day-to-day scope for the Staff Data Scientist, ML (Credit Risk) as described in the posting:
- 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
- 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
What you bring
- You have 7+ years of experience in data science and credit modeling
- You have strong proficiency in SQL and Python for data analysis and modeling
- You have experience designing experiments and interpreting results to guide product decisions
- You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
- You communicate clearly with both technical and non-technical partners
What we offer
What the posting highlights about the offer:
- 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
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include 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.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$217,000—$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$191,000—$224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$170,000—$199,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best.