Staff Research Scientist Visa Sponsorship Jobs in Virginia
Staff research scientist visa sponsorship jobs in Virginia are concentrated around Northern Virginia's federal research corridor, the Washington D.C. metro area, and university hubs like Charlottesville and Blacksburg. Major employers include Leidos, MITRE, Booz Allen Hamilton, and academic institutions such as the University of Virginia and Virginia Tech, which regularly support international researchers.
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Get Access To All JobsINTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.
ROLE DESCRIPTION:
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
THE IDEAL CANDIDATE IS:
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
BASIC QUALIFICATIONS:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
- A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- At least 6 years of experience leveraging open source programming languages for large scale data analysis
- At least 6 years of experience working with machine learning
- At least 6 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 4 years of experience managing people
- At least 6 years of experience in Python, Scala, or R for large scale data analysis
- At least 7 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $314,800 - $359,300 for Sr Dir, Data Science
McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science
New York, NY: $343,400 - $392,000 for Sr Dir, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
INTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.
ROLE DESCRIPTION:
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
THE IDEAL CANDIDATE IS:
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
BASIC QUALIFICATIONS:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
- A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- At least 6 years of experience leveraging open source programming languages for large scale data analysis
- At least 6 years of experience working with machine learning
- At least 6 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 4 years of experience managing people
- At least 6 years of experience in Python, Scala, or R for large scale data analysis
- At least 7 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $314,800 - $359,300 for Sr Dir, Data Science
McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science
New York, NY: $343,400 - $392,000 for Sr Dir, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Staff Research Scientist Job Roles in Virginia
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Search Staff Research Scientist Jobs in VirginiaStaff Research Scientist Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for staff research scientists in Virginia?
Virginia's federal contracting and defense research sector drives much of the sponsorship activity for staff research scientists. Employers such as Leidos, MITRE, Booz Allen Hamilton, and SAIC have consistent H-1B visa LCA filing histories for research roles. Academic institutions including the University of Virginia, Virginia Tech, and George Mason University also sponsor international researchers, often through H-1B or J-1 visa exchange visitor programs.
Which visa types realistically fit staff research scientist roles in Virginia?
Staff research scientist roles typically qualify as specialty occupations requiring a directly related advanced degree, making the H-1B the most common path. Candidates from Australia may qualify for the E-3 visa, while Chilean and Singaporean nationals may use H-1B1 visa. J-1 exchange visitor status suits postdoctoral or institutional research positions. EB-2 and EB-3 employment-based green cards are relevant for long-term sponsorship, often with PERM labor certification.
Which cities in Virginia have the most staff research scientist sponsorship jobs?
Northern Virginia, particularly Arlington, McLean, and Reston, leads in sponsorship volume due to its concentration of federal contractors and defense research firms. Charlottesville, home to the University of Virginia, and Blacksburg, home to Virginia Tech, are strong academic research hubs. Richmond also hosts biomedical and pharmaceutical research employers. The Washington D.C. metro region as a whole generates the highest density of sponsored research positions in the state.
How to find staff research scientist visa sponsorship jobs in Virginia?
Migrate Mate lists staff research scientist positions in Virginia filtered to employers with verified visa sponsorship history, so you can focus on roles where international candidates have a realistic path. Search by city to narrow results to Northern Virginia's federal research corridor or university towns like Charlottesville and Blacksburg. This saves time compared to manually screening postings from employers with no sponsorship track record.
Are there state-specific factors that affect visa sponsorship for staff research scientists in Virginia?
Virginia's large federal contracting sector means many research positions require security clearances, which can complicate or effectively restrict sponsorship for non-U.S. citizens or non-permanent residents. Positions at federal laboratories and classified defense programs are often limited to U.S. persons. Candidates should identify civilian research roles at universities, private biotech firms, and unclassified contractor divisions, where H-1B and J-1 sponsorship is more routinely available.
What is the prevailing wage for sponsored staff research scientist jobs in Virginia?
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.