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.
Find Data Scientist JobsOverview
Showing 5 of 133+ Data Scientist Jobs in Texas with Visa Sponsorship
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 133+ Data Scientist Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs in Texas with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Staff Data Scientist in Finance Systems Transformation at Micron, you will help build and develop customized AI conversational agents. You will also develop advanced analytical models and predictive solutions that support decision-making across Finance. You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build scalable solutions on Snowflake-based finance data. These solutions improve prediction accuracy, deviation assessment, and scenario planning.
This role is passionate about delivering high-impact, production-grade solutions that transform Finance operations. It emphasizes instructed dialogue systems, predictive modeling, intelligent automation, and new agent-based architectures.
You will collaborate with Data Scientists, Data Engineers, Finance Business Users, and UX teams to find questions and problems. You will create solutions for budgeting, income statement, manufacturing expense data domains, and more. In this role, you will write software programs, algorithms, models, and agent instructions. Your work will cleanse, combine, analyze, and assess large datasets from various sources. There are many chances to explore data and develop new solutions that turn finance business logic into code and smart agent actions.
Responsibilities include, but not limited to:
- Lead the development of predictive models for finance use cases, including:
- Forecasting (revenue, expenses, cost drivers)
- Variance analysis (actuals vs. plan, drivers of deviation)
- Scenario modeling and sensitivity analysis to support business planning
- Build and implement scalable, production-grade analytical models that integrate with enterprise finance systems and data platforms
- Develop, test, and deploy intelligent agents in a Snowflake environment, including:
- Agent-based workflows for finance analytics use cases
- Prompt design, evaluation frameworks, and performance testing
- Monitoring and continuous improvement of agent outputs
- Partner closely with Finance business stakeholders, Data Engineering, and UX teams to:
- Translate business problems into data science solutions
- Define success metrics and validate model performance
- Drive adoption of analytics and AI capabilities
- Build and optimize data pipelines and modeling workflows to clean, combine, and analyze vast, detailed data compilations from multiple sources
- Lead exploratory analysis and prototype development to identify new opportunities for automation, insight generation, and decision support
- Provide technical leadership and mentorship to junior data scientists, setting best practices for modeling, experimentation, and productionization
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.
- Strong proficiency in Python and SQL, with hands-on experience developing, testing, and deploying predictive or statistical models on large, complex datasets.
- Working knowledge of core data science and AI/ML tools, including Python libraries such as pandas, NumPy, and scikit-learn, with hands-on experience in Snowflake, Streamlit, and modern AI/ML development environments.
- Experience working with Finance-related data, workflows, and business needs, including corporate finance, P&L, and manufacturing cost data, as well as forecasting, variance analysis, scenario planning, actuals-to-forecast reconciliation, or financial waterfall reporting.
- Experience partnering with Finance stakeholders and cross-functional teams to deliver scalable, user-adopted solutions, and providing technical leadership or mentorship to data scientists and analysts.
PREFERRED QUALIFICATIONS:
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Finance, Economics, or a related quantitative discipline.
- Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, workflows, and business needs, including corporate finance, P&L, manufacturing cost data, forecasting, scenario modeling, driver analysis, or decision support.
- Hands-on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, including prompt/instruction design, evaluation, and performance optimization.
- Experience translating finance business logic into production-grade analytical applications, model features, prompts, rules, or agent workflows that support scalable decision-making.
- Experience with data visualization and basic UI development, including creating intuitive dashboards, analytical interfaces, or lightweight front-end experiences that improve how Finance users interact with models, insights, and AI-enabled solutions.
COMPENSATION
- The US base salary range that Micron Technology estimates it could pay for this full-time position is: $123,000.00 - $290,000.00 a year
Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Staff Data Scientist in Finance Systems Transformation at Micron, you will help build and develop customized AI conversational agents. You will also develop advanced analytical models and predictive solutions that support decision-making across Finance. You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build scalable solutions on Snowflake-based finance data. These solutions improve prediction accuracy, deviation assessment, and scenario planning.
This role is passionate about delivering high-impact, production-grade solutions that transform Finance operations. It emphasizes instructed dialogue systems, predictive modeling, intelligent automation, and new agent-based architectures.
You will collaborate with Data Scientists, Data Engineers, Finance Business Users, and UX teams to find questions and problems. You will create solutions for budgeting, income statement, manufacturing expense data domains, and more. In this role, you will write software programs, algorithms, models, and agent instructions. Your work will cleanse, combine, analyze, and assess large datasets from various sources. There are many chances to explore data and develop new solutions that turn finance business logic into code and smart agent actions.
Responsibilities include, but not limited to:
- Lead the development of predictive models for finance use cases, including:
- Forecasting (revenue, expenses, cost drivers)
- Variance analysis (actuals vs. plan, drivers of deviation)
- Scenario modeling and sensitivity analysis to support business planning
- Build and implement scalable, production-grade analytical models that integrate with enterprise finance systems and data platforms
- Develop, test, and deploy intelligent agents in a Snowflake environment, including:
- Agent-based workflows for finance analytics use cases
- Prompt design, evaluation frameworks, and performance testing
- Monitoring and continuous improvement of agent outputs
- Partner closely with Finance business stakeholders, Data Engineering, and UX teams to:
- Translate business problems into data science solutions
- Define success metrics and validate model performance
- Drive adoption of analytics and AI capabilities
- Build and optimize data pipelines and modeling workflows to clean, combine, and analyze vast, detailed data compilations from multiple sources
- Lead exploratory analysis and prototype development to identify new opportunities for automation, insight generation, and decision support
- Provide technical leadership and mentorship to junior data scientists, setting best practices for modeling, experimentation, and productionization
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.
- Strong proficiency in Python and SQL, with hands-on experience developing, testing, and deploying predictive or statistical models on large, complex datasets.
- Working knowledge of core data science and AI/ML tools, including Python libraries such as pandas, NumPy, and scikit-learn, with hands-on experience in Snowflake, Streamlit, and modern AI/ML development environments.
- Experience working with Finance-related data, workflows, and business needs, including corporate finance, P&L, and manufacturing cost data, as well as forecasting, variance analysis, scenario planning, actuals-to-forecast reconciliation, or financial waterfall reporting.
- Experience partnering with Finance stakeholders and cross-functional teams to deliver scalable, user-adopted solutions, and providing technical leadership or mentorship to data scientists and analysts.
PREFERRED QUALIFICATIONS:
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Finance, Economics, or a related quantitative discipline.
- Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, workflows, and business needs, including corporate finance, P&L, manufacturing cost data, forecasting, scenario modeling, driver analysis, or decision support.
- Hands-on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, including prompt/instruction design, evaluation, and performance optimization.
- Experience translating finance business logic into production-grade analytical applications, model features, prompts, rules, or agent workflows that support scalable decision-making.
- Experience with data visualization and basic UI development, including creating intuitive dashboards, analytical interfaces, or lightweight front-end experiences that improve how Finance users interact with models, insights, and AI-enabled solutions.
COMPENSATION
- The US base salary range that Micron Technology estimates it could pay for this full-time position is: $123,000.00 - $290,000.00 a year
Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Data Scientist Job Roles in Texas
See all 133+ Data Scientist Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.