Artificial Intelligence F-1 STEM OPT Sponsorship Jobs in Texas
Artificial intelligence F-1 STEM OPT sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where employers like Dell Technologies, Texas Instruments, and a growing cluster of AI-focused startups and research labs file Labor Condition Applications for machine learning engineers, data scientists, and AI research roles that qualify under STEM-designated CIP codes.
See All Artificial Intelligence JobsOverview
Showing 5 of 41+ Artificial Intelligence F-1 STEM OPT Sponsorship Jobs in Texas
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 41+ Artificial Intelligence F-1 STEM OPT Sponsorship Jobs in Texas
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence F-1 STEM OPT Sponsorship Jobs in Texas.
Get Access To All JobsINTRODUCTION
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a Data Scientist with strong downstream refining experience to drive data-driven insights across refinery operations, economics, and reliability. This role partners closely with process engineers, operations, planning, maintenance, and commercial teams to optimize refinery performance using advanced analytics, machine learning, and domain-informed modeling. You'll work on high-impact problems such as yield optimization, energy efficiency, unit reliability, predictive maintenance, and margin improvement—turning complex refinery data into actionable intelligence.
ROLE AND RESPONSIBILITIES
Analytics & Modeling:
- Develop, validate, and deploy statistical, ML, and optimization models for refining operations
- Build models supporting:
- Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)
- Energy efficiency and utilities optimization
- Yield and cut-point optimization
- Predictive maintenance and reliability analytics
- Fouling, corrosion, and anomaly detection
- Apply time-series analysis to high-frequency plant data (DCS, historian)
Refining Domain Collaboration:
- Partner with process engineers, operations, maintenance, and planning teams to translate refinery problems into analytical solutions
- Incorporate first-principles knowledge (mass & energy balances, constraints, process limits) into data models
- Interpret model results in the context of refinery economics, safety, and operability
Communication & Impact:
- Clearly communicate insights to technical and non-technical stakeholders
- Quantify business impact (margin improvement, energy reduction, reliability gains)
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Data Science, Chemical Engineering, Applied Mathematics, Statistics, or related field
- 3-8+ years of experience applying data science in downstream refining or closely related process industries
- Strong proficiency in Python or R for data analysis and modeling
- Experience with time-series data and industrial process data
- Solid understanding of refining processes and unit operations
- Experience working with historians (PI), SQL databases, and unstructured data
PREFERRED QUALIFICATIONS
- Advanced degree (MS or PhD)
- Familiarity with:
- Optimization techniques (LP/NLP)
- Digital twin or hybrid physics + ML models
- Cloud platforms (AWS, Azure, GCP)
BENEFITS
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
INTRODUCTION
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a Data Scientist with strong downstream refining experience to drive data-driven insights across refinery operations, economics, and reliability. This role partners closely with process engineers, operations, planning, maintenance, and commercial teams to optimize refinery performance using advanced analytics, machine learning, and domain-informed modeling. You'll work on high-impact problems such as yield optimization, energy efficiency, unit reliability, predictive maintenance, and margin improvement—turning complex refinery data into actionable intelligence.
ROLE AND RESPONSIBILITIES
Analytics & Modeling:
- Develop, validate, and deploy statistical, ML, and optimization models for refining operations
- Build models supporting:
- Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)
- Energy efficiency and utilities optimization
- Yield and cut-point optimization
- Predictive maintenance and reliability analytics
- Fouling, corrosion, and anomaly detection
- Apply time-series analysis to high-frequency plant data (DCS, historian)
Refining Domain Collaboration:
- Partner with process engineers, operations, maintenance, and planning teams to translate refinery problems into analytical solutions
- Incorporate first-principles knowledge (mass & energy balances, constraints, process limits) into data models
- Interpret model results in the context of refinery economics, safety, and operability
Communication & Impact:
- Clearly communicate insights to technical and non-technical stakeholders
- Quantify business impact (margin improvement, energy reduction, reliability gains)
BASIC QUALIFICATIONS
- Bachelor's or Master's degree in Data Science, Chemical Engineering, Applied Mathematics, Statistics, or related field
- 3-8+ years of experience applying data science in downstream refining or closely related process industries
- Strong proficiency in Python or R for data analysis and modeling
- Experience with time-series data and industrial process data
- Solid understanding of refining processes and unit operations
- Experience working with historians (PI), SQL databases, and unstructured data
PREFERRED QUALIFICATIONS
- Advanced degree (MS or PhD)
- Familiarity with:
- Optimization techniques (LP/NLP)
- Digital twin or hybrid physics + ML models
- Cloud platforms (AWS, Azure, GCP)
BENEFITS
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Artificial Intelligence Job Roles in Texas
See all 41+ Artificial Intelligence Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Artificial Intelligence Jobs in TexasArtificial Intelligence Jobs in Texas: Frequently Asked Questions
Which artificial intelligence companies sponsor F-1 STEM OPT visas in Texas?
Established technology employers with a Texas presence, including Dell Technologies, Texas Instruments, IBM, AT&T, and Amazon Web Services, have active histories of filing Labor Condition Applications for AI and machine learning roles. Austin's expanding AI startup ecosystem, along with Dallas-Fort Worth corporate headquarters such as Raytheon Intelligence and Space and Lockheed Martin, also generate STEM OPT sponsorship opportunities for qualified F-1 graduates in artificial intelligence disciplines.
Which cities in Texas have the most artificial intelligence F-1 STEM OPT sponsorship jobs?
Austin leads Texas for AI STEM OPT hiring, driven by a dense concentration of technology companies and university research programs anchored by UT Austin. Dallas-Fort Worth follows closely, with corporate technology centers and defense contractors sponsoring AI talent. Houston contributes through energy-sector AI adoption and the Texas Medical Center's health AI initiatives. San Antonio has a smaller but growing presence through cybersecurity and military-adjacent AI programs.
What types of artificial intelligence roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify generally require a degree in a STEM-designated field such as computer science, electrical engineering, statistics, or data science, and the job duties must directly relate to that field of study. In AI, qualifying positions commonly include machine learning engineer, computer vision researcher, natural language processing scientist, AI software developer, and data scientist. The role must be with an E-Verify-enrolled employer and the position must be paid, full-time work.
How do I find artificial intelligence F-1 STEM OPT sponsorship jobs in Texas?
Migrate Mate filters artificial intelligence jobs in Texas by employers that have demonstrated STEM OPT and H-1B visa sponsorship history using DOL Labor Condition Application data, so you can focus on companies already familiar with F-1 visa requirements. Search for AI roles such as machine learning engineer or data scientist, then filter by Texas and visa type. This is more targeted than browsing general job listings, where sponsorship eligibility is rarely disclosed upfront.
Are there any Texas-specific or AI-industry considerations for F-1 STEM OPT sponsorship?
Texas has no state income tax, which affects total compensation comparisons but does not change federal STEM OPT requirements. Texas employers sponsoring AI roles must be enrolled in E-Verify, and the position must fall under a STEM-designated Classification of Instructional Programs code tied to your degree. The state's large defense and energy sectors introduce export control considerations for certain AI positions, which may affect eligibility for non-U.S. citizens in roles involving controlled technology.