Data Scientist Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data scientist visa sponsorship, driven by major tech and energy employers in Austin, Dallas, and Houston. Companies like Dell, ExxonMobil, and AT&T regularly hire international data scientists. The state's growing tech sector and top research universities create consistent demand for sponsored roles.
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The University of Texas MD Anderson Cancer Center is dedicated to eliminating cancer through exceptional patient care, groundbreaking research, prevention programs, and education. Within the Radiation Oncology Division, the Data Scientist role supports innovative efforts focused on advancing clinical, operational, and scientific initiatives through data-driven solutions and technological innovation.
The Data Scientist will contribute to the development of algorithms, software tools, and artificial intelligence and machine learning solutions that support complex healthcare and research challenges. The Data Scientist works collaboratively with multidisciplinary teams to transform data into actionable insights while supporting the mission of UT MD Anderson. The Data Scientist role offers the opportunity to apply advanced analytical skills in a world-renowned oncology environment.
The ideal candidate will possess a strong foundation in data science, analytics, software development, artificial intelligence, and machine learning, with the ability to support clinical, operational, and scientific projects. Education, experience, and licensure preferences were not provided; therefore, candidates should demonstrate relevant technical expertise, analytical problem-solving capabilities, effective communication skills, and the ability to work collaboratively in multidisciplinary environments.
Salary Range (40-hour work week): Minimum $51.20/hour - Midpoint $63.94/hour - Maximum $76.68/hour
Why Us?
At UT MD Anderson, the Data Scientist plays a critical role in advancing cancer research, patient care, and operational excellence through innovative data analytics, software development, and artificial intelligence solutions. This position provides opportunities to collaborate with leading clinicians, researchers, and technical experts while contributing to meaningful work that supports the institution's mission and promotes professional growth in a dynamic environment.
- Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
- Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
- Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
- Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
Responsibilities
Data Analysis & Problem Solving
- Analyze complex clinical, operational, and scientific problems through data collection, interpretation, and modeling.
- Collaborate with multidisciplinary teams to define problem statements, establish success metrics, and develop solution strategies.
Algorithm, Software & Model Development
- Design algorithms to address specialized technical challenges.
- Develop software tools that support clinical, operational, and scientific objectives.
- Test and maintain algorithms and software solutions to ensure performance and reliability.
- Build and develop AI and machine learning models using supervised, unsupervised, deep learning, and generative approaches.
Machine Learning Pipeline Development
- Build end-to-end data science and machine learning pipelines.
- Perform data ingestion activities to support analytical workflows.
- Execute data preprocessing and feature engineering processes.
- Train, evaluate, deploy, and monitor machine learning models.
Stakeholder Support & Communication
- Advise stakeholders on technical issues and analytical solutions.
- Assist teams in analyzing and resolving complex technical challenges.
- Communicate model outputs, insights, and system behavior to technical audiences.
- Translate analytical findings and technical concepts for non-technical audiences.
Professional Competencies
- Demonstrate active listening and consideration of differing perspectives.
- Communicate ideas clearly and concisely through verbal and written communication.
- Maintain current technical and functional knowledge.
- Promote a safe working environment and support equipment safety preparedness.
- Assist with orientation and adoption of new equipment when applicable.
Education
- Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
- Preferred: Master's Degree Science, Engineering or related field.
- Preferred: PhD Science, Engineering or related field.
WORK EXPERIENCE
- Required: 3 years Scientific software or industry development/analysis experience. or
- Required: 1 year Required experience with Master's degree. or
- Required: With PhD, no experience required.
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.
Additional Information
- Requisition ID: 182872
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 106,500
- Midpoint Salary: US Dollar (USD) 133,000
- Maximum Salary: US Dollar (USD) 159,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Hybrid Onsite/Remote
- Pivotal Position: Yes
- Referral Bonus Available?: Yes
- Relocation Assistance Available?: Yes
LI-Hybrid
Data Scientist
The University of Texas MD Anderson Cancer Center is dedicated to eliminating cancer through exceptional patient care, groundbreaking research, prevention programs, and education. Within the Radiation Oncology Division, the Data Scientist role supports innovative efforts focused on advancing clinical, operational, and scientific initiatives through data-driven solutions and technological innovation.
The Data Scientist will contribute to the development of algorithms, software tools, and artificial intelligence and machine learning solutions that support complex healthcare and research challenges. The Data Scientist works collaboratively with multidisciplinary teams to transform data into actionable insights while supporting the mission of UT MD Anderson. The Data Scientist role offers the opportunity to apply advanced analytical skills in a world-renowned oncology environment.
The ideal candidate will possess a strong foundation in data science, analytics, software development, artificial intelligence, and machine learning, with the ability to support clinical, operational, and scientific projects. Education, experience, and licensure preferences were not provided; therefore, candidates should demonstrate relevant technical expertise, analytical problem-solving capabilities, effective communication skills, and the ability to work collaboratively in multidisciplinary environments.
Salary Range (40-hour work week): Minimum $51.20/hour - Midpoint $63.94/hour - Maximum $76.68/hour
Why Us?
At UT MD Anderson, the Data Scientist plays a critical role in advancing cancer research, patient care, and operational excellence through innovative data analytics, software development, and artificial intelligence solutions. This position provides opportunities to collaborate with leading clinicians, researchers, and technical experts while contributing to meaningful work that supports the institution's mission and promotes professional growth in a dynamic environment.
- Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
- Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
- Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
- Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
Responsibilities
Data Analysis & Problem Solving
- Analyze complex clinical, operational, and scientific problems through data collection, interpretation, and modeling.
- Collaborate with multidisciplinary teams to define problem statements, establish success metrics, and develop solution strategies.
Algorithm, Software & Model Development
- Design algorithms to address specialized technical challenges.
- Develop software tools that support clinical, operational, and scientific objectives.
- Test and maintain algorithms and software solutions to ensure performance and reliability.
- Build and develop AI and machine learning models using supervised, unsupervised, deep learning, and generative approaches.
Machine Learning Pipeline Development
- Build end-to-end data science and machine learning pipelines.
- Perform data ingestion activities to support analytical workflows.
- Execute data preprocessing and feature engineering processes.
- Train, evaluate, deploy, and monitor machine learning models.
Stakeholder Support & Communication
- Advise stakeholders on technical issues and analytical solutions.
- Assist teams in analyzing and resolving complex technical challenges.
- Communicate model outputs, insights, and system behavior to technical audiences.
- Translate analytical findings and technical concepts for non-technical audiences.
Professional Competencies
- Demonstrate active listening and consideration of differing perspectives.
- Communicate ideas clearly and concisely through verbal and written communication.
- Maintain current technical and functional knowledge.
- Promote a safe working environment and support equipment safety preparedness.
- Assist with orientation and adoption of new equipment when applicable.
Education
- Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
- Preferred: Master's Degree Science, Engineering or related field.
- Preferred: PhD Science, Engineering or related field.
WORK EXPERIENCE
- Required: 3 years Scientific software or industry development/analysis experience. or
- Required: 1 year Required experience with Master's degree. or
- Required: With PhD, no experience required.
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.
Additional Information
- Requisition ID: 182872
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 106,500
- Midpoint Salary: US Dollar (USD) 133,000
- Maximum Salary: US Dollar (USD) 159,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Hybrid Onsite/Remote
- Pivotal Position: Yes
- Referral Bonus Available?: Yes
- Relocation Assistance Available?: Yes
LI-Hybrid
Data Scientist Job Roles in Texas
See all 319+ Data Scientist Jobs in Texas
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Search Data Scientist Jobs in TexasData Scientist Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for data scientists?
Large employers with established visa sponsorship programs dominate Texas data scientist hiring. Dell Technologies in Round Rock, AT&T and American Airlines in the Dallas-Fort Worth area, ExxonMobil and Shell in Houston, and Apple and Oracle in Austin have all filed H-1B visa petitions for data scientist roles. Major financial firms like USAA in San Antonio also hire international data scientists regularly.
Which visa types are most common for data scientists in Texas?
The H-1B is the most common visa for data scientist roles in Texas, given that the position clearly qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some employers also sponsor EB-2 or EB-3 green card petitions for data scientists. Candidates from Australia may find the E-3 visa an accessible alternative, and those from Canada or Mexico may qualify under the TN visa category.
Which cities in Texas have the most data scientist visa sponsorship jobs?
Austin leads Texas for data scientist sponsorship activity, fueled by a dense concentration of tech companies and startups. Dallas-Fort Worth follows closely, with strong hiring across finance, telecoms, and enterprise tech. Houston is the primary hub for data scientists in energy and healthcare analytics. San Antonio has a growing cybersecurity and defense tech sector that also produces sponsored data scientist openings.
How to find data scientist visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data scientist roles in Texas where employers are actively sponsoring. You can filter by location and role to surface positions at Texas-based companies with a documented history of H-1B and other visa filings, saving significant time compared to manually screening generic job postings.
Are there any Texas-specific factors that affect data scientist visa sponsorship?
Texas has no state income tax, which affects prevailing wage calculations differently than high-tax states, but federal H-1B wage requirements still apply and employers must meet Department of Labor prevailing wage standards for the specific metro area. Austin and Dallas are classified separately for prevailing wage purposes, so offers in those cities reflect local market rates. Texas universities including UT Austin and Texas A&M also generate strong OPT pipelines that many in-state employers are familiar with sponsoring.
What is the prevailing wage for sponsored 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.