Associate Data Scientist Visa Sponsorship Jobs in Texas
Associate data scientist visa sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where technology companies, energy analytics firms, and financial services employers actively file LCAs. Major sponsors include Dell, Deloitte, JPMorgan Chase, and ExxonMobil. Texas has no state income tax, making it a compelling destination for international candidates pursuing H-1B visa or green card sponsorship.
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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.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers love.
- Leverage a broad stack of technologies—Python, PyTorch, LangChain, AWS, Spark, and Vector Databases—to build Multi-Agent systems and advanced RAG pipelines over vast volumes of numeric and textual data.
- Build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
THE IDEAL CANDIDATE IS:
- 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.
- 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.
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 2 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
PREFERRED QUALIFICATIONS
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
- At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP
LOCATION
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: $135,600 - $154,800 for Sr Assoc, Data Science
- Plano, TX: $123,300 - $140,700 for Sr Assoc, 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.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers love.
- Leverage a broad stack of technologies—Python, PyTorch, LangChain, AWS, Spark, and Vector Databases—to build Multi-Agent systems and advanced RAG pipelines over vast volumes of numeric and textual data.
- Build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
THE IDEAL CANDIDATE IS:
- 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.
- 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.
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 2 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
PREFERRED QUALIFICATIONS
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
- At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP
LOCATION
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: $135,600 - $154,800 for Sr Assoc, Data Science
- Plano, TX: $123,300 - $140,700 for Sr Assoc, 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).
Associate Data Scientist Job Roles in Texas
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Search Associate Data Scientist Jobs in TexasAssociate Data Scientist Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for associate data scientists in Texas?
Technology and enterprise companies with large Texas footprints are among the most active sponsors for associate data scientist roles. Dell Technologies in Round Rock, Deloitte and AT&T in Dallas, JPMorgan Chase in Plano, and energy analytics teams at ExxonMobil and Chevron in Houston have consistent LCA filing histories for data science positions. Mid-size analytics and SaaS firms in Austin's tech corridor also sponsor regularly.
Which visa types realistically fit associate data scientist roles in Texas?
Associate data scientist roles qualify as specialty occupations because they require a bachelor's degree or higher in computer science, statistics, mathematics, or a closely related STEM field. The H-1B is the primary work visa, with initial status up to three years, extendable to six. F-1 graduates can use OPT for 12 months of post-graduation work authorization, and those with STEM-designated degrees are eligible for a 24-month STEM OPT extension, requiring employers to be E-Verify enrolled. EB-2 and EB-3 employment-based green cards are also viable long-term paths.
Which cities in Texas have the most associate data scientist sponsorship jobs?
Austin leads in volume due to its dense technology sector, with employers ranging from cloud platforms to consumer-facing startups. Dallas-Fort Worth follows closely, driven by financial services, consulting, and enterprise technology headquartered in the Metroplex. Houston contributes a distinct niche through energy analytics, healthcare informatics at the Texas Medical Center, and logistics data roles. San Antonio has a growing cybersecurity and defense analytics cluster that generates sponsorship opportunities for data science candidates.
How to find associate data scientist visa sponsorship jobs in Texas?
Migrate Mate is the most direct way to find associate data scientist roles in Texas where employers have verified sponsorship history. The platform shows employers with confirmed LCA filing activity for data science positions, searchable by Texas cities including Austin, Dallas, and Houston. This saves time compared to manually screening postings, since you can focus on employers already familiar with sponsoring international candidates for quantitative roles.
Are there state-specific or role-specific factors that affect associate data scientist sponsorship in Texas?
Texas has several characteristics that work in a candidate's favor. The concentration of Fortune 500 headquarters in Dallas-Fort Worth means larger HR and legal teams with established H-1B sponsorship processes. Austin's university pipeline from UT Austin and Texas A&M produces STEM-designated degree holders who qualify for STEM OPT, making them easier for employers to onboard before transitioning to H-1B. The energy sector in Houston creates demand for data scientists with domain knowledge in geospatial analytics, reservoir modeling, and supply-chain optimization.
What is the prevailing wage for sponsored associate data scientist jobs in Texas?
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.