Senior Data Science Engineer Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for senior data science engineer visa sponsorship, driven by major tech and energy employers across Austin, Dallas, and Houston. Companies like Dell, AT&T, ExxonMobil, and a growing wave of fintech and healthcare analytics firms regularly hire and sponsor international candidates at the senior level.
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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:
As a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale. Our team has a relentless focus on the craft of modeling and innovation, 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. You’ll drive the heart of business by working on an array of impactful and exciting applications like chat bot, customer summarization, message recommendation, and next best actions via Generative AI.
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, AWS, LLM and more — to reveal the insights hidden within huge volumes of structured and unstructured data
- Build Generative AI models and products through all phases of development, from design through training, evaluation, validation, implementation, monitoring and risk governance
- 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.
- 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, LLM prompting/fine-tuning and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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 7 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 5 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 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
- At least 2 years of experience working with AWS
- At least 2 years of experience managing people
- At least 2 years’ experience in LLM training and evaluation
- At least 2 years’ experience in GenAI application development
- At least 5 years’ experience in Python for large scale data analysis
- At least 5 years’ experience with machine learning
- At least 1 year experience working with AWS
- At least 1 year experience managing people
- At least 1 year experience in LLM training and evaluation
- At least 1 year experience in GenAI application development
- At least 3 years experience in Python, Scala, or R for large scale data analysis
- At least 3 years 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.
- Plano, TX: $209,000 - $238,500 for Sr Mgr, 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:
As a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale. Our team has a relentless focus on the craft of modeling and innovation, 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. You’ll drive the heart of business by working on an array of impactful and exciting applications like chat bot, customer summarization, message recommendation, and next best actions via Generative AI.
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, AWS, LLM and more — to reveal the insights hidden within huge volumes of structured and unstructured data
- Build Generative AI models and products through all phases of development, from design through training, evaluation, validation, implementation, monitoring and risk governance
- 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.
- 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, LLM prompting/fine-tuning and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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 7 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 5 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 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
PREFERRED QUALIFICATIONS:
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
- At least 2 years of experience working with AWS
- At least 2 years of experience managing people
- At least 2 years’ experience in LLM training and evaluation
- At least 2 years’ experience in GenAI application development
- At least 5 years’ experience in Python for large scale data analysis
- At least 5 years’ experience with machine learning
- At least 1 year experience working with AWS
- At least 1 year experience managing people
- At least 1 year experience in LLM training and evaluation
- At least 1 year experience in GenAI application development
- At least 3 years experience in Python, Scala, or R for large scale data analysis
- At least 3 years 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.
- Plano, TX: $209,000 - $238,500 for Sr Mgr, 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).
Senior Data Science Engineer Job Roles in Texas
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Search Senior Data Science Engineer Jobs in TexasSenior Data Science Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Texas?
Several large Texas-based employers have established H-1B sponsorship histories for senior data science engineering roles. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and Capital One in the Dallas-Fort Worth area, and ExxonMobil and Hewlett Packard Enterprise in Houston. Beyond these names, Texas has a growing presence of health tech firms, financial services companies, and defense contractors that regularly sponsor at the senior level.
Which cities in Texas have the most senior data science engineer sponsorship jobs?
Austin, Dallas-Fort Worth, and Houston account for the overwhelming majority of senior data science engineer sponsorship opportunities in Texas. Austin draws heavy interest from technology companies and startups with enterprise clients. Dallas-Fort Worth is a center for financial services, telecommunications, and retail analytics. Houston's energy sector and expanding medical center create distinct demand for data science talent at the senior engineer level.
How to find senior data science engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find senior data science engineer roles in Texas without sifting through positions that don't offer sponsorship. You can filter by state, role level, and sponsorship type. Because senior data science engineers in Texas span energy, fintech, healthcare, and tech sectors, Migrate Mate's categorization helps narrow results to the most relevant opportunities for your background.
Which visa types are most common for senior data science engineer roles in Texas?
The H-1B is the most common visa category for senior data science engineers in Texas, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or data science. Some candidates with prior U.S. employer relationships pursue L-1B intracompany transfers. Candidates with exceptional research records or publications may explore the O-1A. Australian citizens have access to the E-3 as an alternative to the H-1B.
Are there any Texas-specific considerations for senior data science engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage benchmarks differently than in high-tax states, though Department of Labor wage determinations for H-1B purposes are based on the metropolitan statistical area of employment, not state tax policy. University pipelines from UT Austin, Texas A&M, and Rice University produce a steady local talent supply, meaning employers are selective at the senior level and typically sponsor candidates who bring specialized skills in areas like large-scale ML infrastructure, NLP, or computer vision.
What is the prevailing wage for sponsored senior data science engineer 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.
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