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 345+ Data Scientist Jobs in Texas with Visa Sponsorship
See all 345+ 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
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
ROLE AND RESPONSIBILITIES
What you'll do in the role:
- Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
- Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
- Conduct research to identify novel methods for enhancing analytical solutions.
- Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
- Champion innovative approaches to improve detection of suspicious activity.
BASIC QUALIFICATIONS
What you'll bring to the role:
- Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
- 5+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
- Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
- Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
- Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
- Strong problem solving and time management skills
- Excellent written and oral communication skills
- Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
- Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
- Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
INTRODUCTION
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
ROLE AND RESPONSIBILITIES
What you'll do in the role:
- Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
- Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
- Conduct research to identify novel methods for enhancing analytical solutions.
- Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
- Champion innovative approaches to improve detection of suspicious activity.
BASIC QUALIFICATIONS
What you'll bring to the role:
- Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
- 5+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
- Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
- Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
- Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
- Strong problem solving and time management skills
- Excellent written and oral communication skills
- Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
- Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
- Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
Data Scientist Job Roles in Texas
See all 345+ 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.