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 OTS ANCHOR (Analytics, Insights, and Centralized Hub for OTS Reporting) team is part of the WW IT Operations & RME organization, responsible for delivering data solutions that drive operational excellence across Amazon's global IT infrastructure. We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north star vision.
We are seeking a Data Scientist to help own the end-to-end data science charter for critical operational workstreams — from forecasting IT service demand and capacity planning to designing intelligent severity triaging models and building the analytical backbone for agentic AI solutions. You will work backwards from complex operational problems to create models and solutions that directly impact the efficiency and reliability of Amazon's IT operations worldwide.
Key job responsibilities
- Design, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling
- Build and maintain severity classification and intelligent triaging models that process thousands of daily IT service tickets across global regions
- Develop anomaly detection systems to identify emerging patterns in operational data, supporting proactive incident prevention
- Apply econometric and statistical methods to measure the impact of operational interventions and inform resource allocation decisions
- Partner with engineering teams to productionize ML models via automated pipelines using AWS services (SageMaker, Step Functions, Lambda, Redshift)
- Design and conduct experiments to empirically validate model performance and operational impact
- Contribute to data quality monitoring frameworks and help maintain standards for operational data integrity
- Collaborate with cross-functional teams (ServiceNow platform, Decision Intelligence, Field Operations) to translate analytical insights into actionable recommendations
- Communicate findings, model performance, and recommendations to stakeholders and senior leaders through written documents and presentations
- Contribute to the team's science roadmap, identifying opportunities to apply ML/AI (including Generative AI) to operational challenges
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of data scientist experience
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- Experience building and deploying production machine learning models (classification, regression, time-series forecasting, anomaly detection)
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with written and verbal communication and presentation
LOCATION
USA, TX, Austin
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Compensation Range:
$136,000.00 - $184,000.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION
The OTS ANCHOR (Analytics, Insights, and Centralized Hub for OTS Reporting) team is part of the WW IT Operations & RME organization, responsible for delivering data solutions that drive operational excellence across Amazon's global IT infrastructure. We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north star vision.
We are seeking a Data Scientist to help own the end-to-end data science charter for critical operational workstreams — from forecasting IT service demand and capacity planning to designing intelligent severity triaging models and building the analytical backbone for agentic AI solutions. You will work backwards from complex operational problems to create models and solutions that directly impact the efficiency and reliability of Amazon's IT operations worldwide.
Key job responsibilities
- Design, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling
- Build and maintain severity classification and intelligent triaging models that process thousands of daily IT service tickets across global regions
- Develop anomaly detection systems to identify emerging patterns in operational data, supporting proactive incident prevention
- Apply econometric and statistical methods to measure the impact of operational interventions and inform resource allocation decisions
- Partner with engineering teams to productionize ML models via automated pipelines using AWS services (SageMaker, Step Functions, Lambda, Redshift)
- Design and conduct experiments to empirically validate model performance and operational impact
- Contribute to data quality monitoring frameworks and help maintain standards for operational data integrity
- Collaborate with cross-functional teams (ServiceNow platform, Decision Intelligence, Field Operations) to translate analytical insights into actionable recommendations
- Communicate findings, model performance, and recommendations to stakeholders and senior leaders through written documents and presentations
- Contribute to the team's science roadmap, identifying opportunities to apply ML/AI (including Generative AI) to operational challenges
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of data scientist experience
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- Experience building and deploying production machine learning models (classification, regression, time-series forecasting, anomaly detection)
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with written and verbal communication and presentation
LOCATION
USA, TX, Austin
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Compensation Range:
$136,000.00 - $184,000.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Data Scientist Job Roles 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.