Staff Data Scientist, ML (Credit Risk)
Robinhood · Menlo Park, CA; New York, NY; Washington, DC · From 401
Employer's original title: Staff Data Scientist, ML (Credit Risk)
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Why this job?
Discovery score 57/100, built only from evidence stored with this listing.
- New official employer listing
- Salary disclosed
Score components
- Recency (moves as the posting ages)+18
- Official employer source+15
- Salary disclosed+15
- Rare role+1
- Company source health+8
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Job description
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. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
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
• 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
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
• 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. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Salary
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. Please review the Privacy Policy for your country of application.