Data Science Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data science engineer visa sponsorship, driven by technology corridors in Austin, Dallas, and Houston. Major employers include Dell Technologies, AT&T, ExxonMobil, and a growing number of AI-focused startups and financial services firms. The state's lack of income tax also makes it a competitive hiring market for internationally recruited engineering talent.
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USRM Distribution & Marketing Data Science is hiring a Senior Director I, Data Science to lead our Independent Agency Data Science team. This role will span two critical areas of work. First, it will oversee the expansion, improvement, and maintenance of our mature Quote Efficiency portfolio. This suite of models helps make Liberty Mutual a brand that independent agents love to sell, by making us appear accurately and attractively in comparative raters and making our proprietary quoting and binding systems easy to use while manifesting our underwriting appetite in specific, actionable ways. Second, this role will direct emerging opportunities for IA Data Science, including models to make our Small Commercial products easier for agents to sell, models that help our Territory Managers use their time optimally, and models that influence the behavior of roughly 100,000 individual producers across our appointed independent agencies.
Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.
Responsibilities include:
- Collaborating with analytics, technology, experience, strategy, and marketing teams focused on the independent agency channel, to help us be the best insurer for independent agents in the industry.
- Leading a team of 7-10 data scientists working on both ML and AI problems: training models, orchestrating agents, packaging code for deployment, and evaluating and monitoring our AI/ML products’ performance.
- Leading and developing your team by setting clear goals and expectations, motivating and inspiring high performance, leveraging a diversity of perspectives, and supporting the people on your team as they grow and develop.
Preferred skills and experiences:
- Deep knowledge of the data science lifecycle, from identifying and framing business opportunities, through training and deploying models, to evaluating and continually monitoring in-market performance.
- Experience collaborating with stakeholders who are not data scientists themselves, in complex business environments, to understand which problems need solving, design solutions, and bring them to market.
- Prior experience leading people.
Additional skills and experiences that are nice to have:
- Hands-on data science and/or ML engineering technical skills.
- Knowledge of the independent agency distribution channel.
Qualifications
- Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset, to include highly technical tools.
- Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
- Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts up to and including SBU/Corp Dept leadership.
- Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
- Ability to give effective training and presentations to all levels of the organization.
- Interacts with senior executives.
- Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
- Deep knowledge of business drivers and market context.
- Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
- Utilizes significant business experience and judgment to direct work of unit and communicate results.
- Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 8 years of relevant experience or may be acquired through a Bachelor’s degree (scientific field of study) and 10 years of relevant experience.
- Insurance or financial services industry experience preferred.
About us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Description
USRM Distribution & Marketing Data Science is hiring a Senior Director I, Data Science to lead our Independent Agency Data Science team. This role will span two critical areas of work. First, it will oversee the expansion, improvement, and maintenance of our mature Quote Efficiency portfolio. This suite of models helps make Liberty Mutual a brand that independent agents love to sell, by making us appear accurately and attractively in comparative raters and making our proprietary quoting and binding systems easy to use while manifesting our underwriting appetite in specific, actionable ways. Second, this role will direct emerging opportunities for IA Data Science, including models to make our Small Commercial products easier for agents to sell, models that help our Territory Managers use their time optimally, and models that influence the behavior of roughly 100,000 individual producers across our appointed independent agencies.
Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.
Responsibilities include:
- Collaborating with analytics, technology, experience, strategy, and marketing teams focused on the independent agency channel, to help us be the best insurer for independent agents in the industry.
- Leading a team of 7-10 data scientists working on both ML and AI problems: training models, orchestrating agents, packaging code for deployment, and evaluating and monitoring our AI/ML products’ performance.
- Leading and developing your team by setting clear goals and expectations, motivating and inspiring high performance, leveraging a diversity of perspectives, and supporting the people on your team as they grow and develop.
Preferred skills and experiences:
- Deep knowledge of the data science lifecycle, from identifying and framing business opportunities, through training and deploying models, to evaluating and continually monitoring in-market performance.
- Experience collaborating with stakeholders who are not data scientists themselves, in complex business environments, to understand which problems need solving, design solutions, and bring them to market.
- Prior experience leading people.
Additional skills and experiences that are nice to have:
- Hands-on data science and/or ML engineering technical skills.
- Knowledge of the independent agency distribution channel.
Qualifications
- Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset, to include highly technical tools.
- Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
- Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts up to and including SBU/Corp Dept leadership.
- Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
- Ability to give effective training and presentations to all levels of the organization.
- Interacts with senior executives.
- Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
- Deep knowledge of business drivers and market context.
- Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
- Utilizes significant business experience and judgment to direct work of unit and communicate results.
- Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 8 years of relevant experience or may be acquired through a Bachelor’s degree (scientific field of study) and 10 years of relevant experience.
- Insurance or financial services industry experience preferred.
About us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Data Science Engineer Job Roles in Texas
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Search Data Science Engineer Jobs in TexasData Science Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Texas?
Large technology and enterprise firms are the most consistent sponsors for data science engineers in Texas. Companies like Dell Technologies, AT&T, Amazon (Austin fulfillment and tech operations), ExxonMobil, and Lockheed Martin have filed significant numbers of H-1B visa petitions for data-related engineering roles. Texas-based fintech companies and healthcare analytics firms in the Dallas-Fort Worth corridor are also active sponsors, particularly for roles requiring machine learning and statistical modeling expertise.
Which visa types are most common for data science engineer roles in Texas?
The H-1B is the most common visa category for data science engineers in Texas, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also enter through the H-1B master's cap. Those with extraordinary ability or significant research backgrounds sometimes pursue the O-1A. Australian citizens may qualify for the E-3 visa as an alternative to the H-1B.
Which cities in Texas have the most data science engineer sponsorship jobs?
Austin leads the state for data science engineer sponsorship activity, reflecting its concentration of technology companies and startups. Dallas-Fort Worth is a close second, driven by large corporate headquarters in finance, telecom, and healthcare. Houston contributes meaningful volume through energy sector employers like ExxonMobil and Chevron Phillips, which have expanded their data science functions significantly. San Antonio has a smaller but growing presence, particularly through cybersecurity and defense contractors.
How to find data science engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including data science engineer positions in Texas. You can filter by state and role type to surface employers who have a documented history of sponsoring work visas in this field. Because Migrate Mate focuses exclusively on sponsorship-verified listings, it removes the friction of manually researching which Texas employers are open to international candidates.
Are there any Texas-specific considerations for data science engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons since employers still must meet Department of Labor wage requirements for the specific metropolitan area. Austin and Dallas have distinct prevailing wage levels that differ from each other, so the same role title can carry different compliance thresholds depending on worksite location. The University of Texas system and Texas A&M also generate a consistent pipeline of OPT-eligible candidates, meaning many Texas employers already have established processes for sponsoring international data science hires.
What is the prevailing wage for sponsored data science engineer 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.