Data Scientist Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for data scientist visa sponsorship, anchored by a dense cluster of federal contractors, defense agencies, and tech firms in Northern Virginia and the DC metro corridor. Employers like Booz Allen Hamilton, Leidos, Capital One, and Amazon Web Services actively hire data scientists and have established H-1B visa sponsorship track records.
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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 9 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 7 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 4 years of experience performing data analytics
- At least 4 years of experience leveraging open source programming languages for large scale data analysis
- At least 4 years of experience working with machine learning
- At least 4 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 3 years of experience managing people
- At least 5 years of experience in Python, Scala, or R for large scale data analysis
- At least 5 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- Cambridge, MA: $269,100 - $307,200 for Dir, Data Science
- McLean, VA: $269,100 - $307,200 for Dir, Data Science
- New York, NY: $293,600 - $335,100 for 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 9 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 7 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 4 years of experience performing data analytics
- At least 4 years of experience leveraging open source programming languages for large scale data analysis
- At least 4 years of experience working with machine learning
- At least 4 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 3 years of experience managing people
- At least 5 years of experience in Python, Scala, or R for large scale data analysis
- At least 5 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- Cambridge, MA: $269,100 - $307,200 for Dir, Data Science
- McLean, VA: $269,100 - $307,200 for Dir, Data Science
- New York, NY: $293,600 - $335,100 for 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).
Data Scientist Job Roles in Virginia
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Search Data Scientist Jobs in VirginiaData Scientist Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data scientists in Virginia?
Northern Virginia's federal contracting sector produces the most consistent data scientist sponsorship activity in the state. Booz Allen Hamilton, Leidos, SAIC, and Peraton regularly file H-1B petitions for data science roles. Capital One's McLean headquarters and Amazon Web Services' Arlington presence add strong private-sector sponsorship. Defense-adjacent analytics firms concentrated around Tysons Corner and Reston also appear frequently in DOL disclosure data for data scientist positions.
Which visa types are most common for data scientist roles in Virginia?
The H-1B is by far the most common visa category for data scientists in Virginia, given that data science meets the specialty occupation standard requiring a bachelor's degree or higher in a directly related field such as computer science, statistics, or mathematics. Employers with established sponsorship programs may also support O-1A petitions for candidates with exceptional research records. Some positions at universities or research institutions qualify under J-1 visa or OPT extensions.
Which cities in Virginia have the most data scientist sponsorship jobs?
Northern Virginia dominates, particularly Arlington, McLean, Reston, and Tysons Corner, driven by federal contractors and major tech campuses. Richmond has a smaller but growing market tied to Capital One's operations and financial services firms. Virginia Beach and Norfolk see occasional openings through defense and maritime analytics contractors. For candidates prioritizing volume and employer diversity, the Northern Virginia corridor offers the most concentrated sponsorship activity in the state.
How to find data scientist visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data scientist roles in Virginia without sifting through postings from employers who don't sponsor. The platform surfaces positions from federal contractors, tech firms, and financial services companies across Northern Virginia and beyond. Filtering by location and role on Migrate Mate is the most direct way to identify which Virginia employers are actively hiring sponsored data scientists right now.
Are there state-specific factors that affect data scientist sponsorship in Virginia?
Virginia's concentration of federal contracting work introduces a practical consideration: many data scientist roles require security clearances, which can limit sponsorship to candidates who are already permanent residents or citizens. Non-cleared positions are most common at commercial tech firms and financial institutions. Virginia's public universities, including Virginia Tech and George Mason University, also produce a consistent pipeline of data science graduates who enter the OPT-to-H-1B sponsorship pathway, so employers in the state are generally familiar with the process.
What is the prevailing wage for sponsored data 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.