Staff Scientist Visa Sponsorship Jobs in Washington DC
Staff scientist roles in Washington DC concentrate around federal research agencies, think tanks, and organizations like the National Institutes of Health, the Smithsonian Institution, and Georgetown University Medical Center. International candidates pursuing these positions can access visa sponsorship through H-1B visa, EB-2, and EB-3 pathways, with many employers holding established sponsorship histories.
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Get Access To All JobsINTRODUCTION
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.
ABOUT THE TEAM & ROLE
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
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. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!
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. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. 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. 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.
- 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
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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.
COMPENSATION
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.
- 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
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.
INTRODUCTION
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.
ABOUT THE TEAM & ROLE
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
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. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!
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. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. 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. 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.
- 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
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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.
COMPENSATION
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.
- 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
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.
Staff Scientist Job Roles in Washington DC
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Search Staff Scientist Jobs in Washington DCStaff Scientist Jobs in Washington DC: Frequently Asked Questions
Which visa types realistically fit staff scientist roles in Washington DC?
Staff scientist positions typically qualify as specialty occupations requiring a directly related bachelor's degree or higher, making the H-1B the most common path. Candidates from Chile or Singapore may qualify for the H-1B1 visa, and Australians for the E-3 visa, both structured similarly to the H-1B. For longer-term options, EB-2 (advanced degree or exceptional ability) and EB-3 (skilled worker) green card categories fit well. J-1 visa research scholar status also applies at many DC institutions.
Which companies sponsor visas for staff scientists in Washington DC?
Federal contractors and research institutions dominate sponsorship in DC, including organizations like the National Institutes of Health, the American Red Cross, Georgetown University, George Washington University, and the Smithsonian Institution. Biomedical and policy research firms with government contracts, such as Leidos, MITRE, and ICF International, also maintain active sponsorship records for staff scientist roles and file LCAs regularly with the DOL.
How to find staff scientist visa sponsorship jobs in Washington DC?
Migrate Mate lists Washington DC employers with verified sponsorship histories for staff scientist roles, letting you search specifically within this market rather than filtering through general postings. Because federal research institutions and contractors here often sponsor through H-1B and EB-series pathways, focusing on employers with documented LCA filings is a practical starting point. Migrate Mate surfaces that filing history directly alongside current job openings.
Which areas within Washington DC have the most staff scientist sponsorship jobs?
Most staff scientist sponsorship activity concentrates in and around the National Mall corridor, where federal agencies and their affiliated research centers are headquartered. The Rockville and Bethesda corridor just across the Maryland border feeds directly into DC's research ecosystem via NIH and FDA campuses. Within the District itself, Georgetown, Foggy Bottom, and NoMa see hiring activity from universities, think tanks, and health research organizations with active sponsorship records.
Are there DC-specific factors that affect staff scientist visa sponsorship?
Washington DC's heavy concentration of federal funding creates a distinctive hiring pattern: many staff scientist roles are tied to government contracts or cooperative research agreements, which can influence how employers structure sponsorship and prevailing wage compliance. Institutions with ongoing NIH grants, federal cooperative agreements, or DOD contracts tend to have established immigration support infrastructure. Cap-exempt status also applies at qualifying nonprofit research institutions and universities, allowing H-1B filings outside the annual lottery.
What is the prevailing wage for sponsored staff scientist jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.