Green Card Associate Data Scientist Jobs
Associate Data Scientist jobs with green card sponsorship are available through the EB-2 and EB-3 employment-based categories, where your employer files a PERM labor certification with the Department of Labor before petitioning USCIS. Priority dates and per-country backlogs apply, so starting the process early matters for nationals from high-demand countries.
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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
Small businesses make up 99% of U.S. firms and drive 44% of the nation's GDP. At Small Business Bank (SBB), our mission is to advocate for these entrepreneurs and empower their long-term success. The SBB Data Science team brings a relentless focus to the craft of data science—spanning statistics, machine learning, and emerging AI technologies. We partner across the organization to optimize the performance and impact of the financial products, policies, and services delivered to our customers.
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
- Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the overall customer experience
THE IDEAL CANDIDATE IS:
- 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 back tested 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.
- 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.
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 5 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 3 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)
PREFERRED QUALIFICATIONS:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 3 years’ experience with machine learning and statistical modeling
- At least 3 years’ experience in Python, Dask, Spark etc.
- At least 3 years’ experience with SQL
- At least 1 year of experience working with AWS
- At least 1 year of experience with deep learning/emerging AI e.g. graphs, embeddings, sequence models, or transformer models
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.
McLean, VA: $161,800 - $184,600 for Princ Associate, 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
Small businesses make up 99% of U.S. firms and drive 44% of the nation's GDP. At Small Business Bank (SBB), our mission is to advocate for these entrepreneurs and empower their long-term success. The SBB Data Science team brings a relentless focus to the craft of data science—spanning statistics, machine learning, and emerging AI technologies. We partner across the organization to optimize the performance and impact of the financial products, policies, and services delivered to our customers.
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
- Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the overall customer experience
THE IDEAL CANDIDATE IS:
- 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 back tested 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.
- 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.
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 5 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 3 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)
PREFERRED QUALIFICATIONS:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 3 years’ experience with machine learning and statistical modeling
- At least 3 years’ experience in Python, Dask, Spark etc.
- At least 3 years’ experience with SQL
- At least 1 year of experience working with AWS
- At least 1 year of experience with deep learning/emerging AI e.g. graphs, embeddings, sequence models, or transformer models
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.
McLean, VA: $161,800 - $184,600 for Princ Associate, 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).
See all 39+ Green Card Associate Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Associate Data Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Associate Data Scientist
Document your degree and experience trail
Gather official transcripts, degree certificates, and employment verification letters before applying. EB-2 requires an advanced degree or a bachelor's plus five years of progressive experience, so gaps or informal roles must be documented carefully to satisfy PERM requirements.
Use the OFLC Wage Search to benchmark your offer
PERM requires your employer to pay at least the DOL prevailing wage for your SOC code and work location. Run the OFLC Wage Search for Associate Data Scientist roles in your target city so you can flag underpaying offers before the process starts.
Target employers with dedicated immigration counsel
PERM labor certification involves a formal recruitment test, supervised advertising, and strict DOL audit risk. Prioritize employers who already work with immigration attorneys, since those companies can move through the PERM and I-140 stages without delays from inexperienced HR teams.
Find green-card-sponsoring employers on Migrate Mate
Search Migrate Mate to identify U.S. employers with verified green card sponsorship history for data roles. The platform shows employers who have filed employment-based petitions, letting you focus your applications on companies already familiar with the PERM and I-140 process.
Clarify your EB-2 or EB-3 category before accepting an offer
Confirm with your employer which category they intend to file under before you accept. If you have only a bachelor's degree, EB-3 is the likely path. Switching categories after PERM is certified requires restarting the DOL process, costing months of processing time.
Track your priority date to plan AC21 portability
Once your I-485 has been pending 180 days or more, AC21 portability lets you change to a same or similar occupation without losing your place in line. Monitor your priority date through USCIS so you know exactly when that protection activates if you receive a competing offer.
Green Card Associate Data Scientist: Frequently Asked Questions
Which green card category applies to Associate Data Scientist roles?
Most Associate Data Scientist positions qualify under EB-2, which covers roles requiring an advanced degree or a bachelor's degree plus five years of progressive specialized experience. If your credentials are limited to a bachelor's degree with less experience, your employer may file under EB-3 instead. The employer's immigration counsel determines the appropriate category based on the specific job duties and your qualifications.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status tied to employer sponsorship and subject to an annual lottery. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residence with no renewal requirement. The employer must first complete PERM labor certification with DOL, then file an I-140 immigrant petition with USCIS, and you must wait for a visa number to become available based on your country of birth and priority date.
How long does the PERM process take for a data science role?
PERM labor certification requires a prevailing wage determination from DOL and a formal recruitment test, including supervised job advertising. DOL processing times fluctuate and are not guaranteed. Nationals from high-demand countries such as India and China can face significant additional wait times once the I-140 is approved, because per-country annual limits create priority-date backlogs that extend well beyond the initial PERM and I-140 timeline.
How do I find employers who sponsor green cards for Associate Data Scientist positions?
Migrate Mate lists U.S. employers with verified employment-based green card sponsorship history, searchable by role and location. This lets you focus your job search on companies that have already filed PERM labor certifications and I-140 petitions for data roles rather than approaching employers who may be unfamiliar with the sponsorship process entirely.
Can I change employers after my green card process has started?
Once your I-485 adjustment of status application has been pending for 180 days or more, AC21 portability allows you to move to the same or a substantially similar occupation without losing your priority date or restarting the process. Separately, an approved I-140 from a prior employer can preserve your priority date even if you transfer to a new employer who files a new I-140. These are two distinct protections with different requirements.