Data Science Manager Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for data science manager roles, with major hiring in Austin's tech corridor, Dallas-Fort Worth's financial and telecom sectors, and Houston's energy and healthcare industries. Employers like Dell, AT&T, ExxonMobil, and a growing field of tech startups regularly sponsor H-1B visas for senior data science positions.
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Get Access To All JobsImagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Strategic Data Solutions (SDS) team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
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Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
-
Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
-
Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
-
Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
-
Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
-
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
-
Evangelize data science best practices and help embed a data-informed culture across teams
-
Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Strategic Data Solutions (SDS) team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
-
Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
-
Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
-
Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
-
Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
-
Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
-
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
-
Evangelize data science best practices and help embed a data-informed culture across teams
-
Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
Data Science Manager Job Roles in Texas
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Search Data Science Manager Jobs in TexasData Science Manager Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data science managers in Texas?
Texas has a wide range of H-1B sponsors for data science manager roles. Technology companies like Dell, IBM, and Oracle have significant operations in Austin and the DFW metroplex. In Houston, energy firms including ExxonMobil and Chevron hire data science leadership. Telecom giants like AT&T and financial institutions headquartered in Dallas also appear consistently in DOL disclosure data as H-1B sponsors for senior data science positions.
Which visa types are most common for data science manager roles in Texas?
The H-1B is by far the most common visa for data science managers in Texas. The role qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding L-1A status through multinational employers may also transition into managerial data science roles, and those with extraordinary ability may pursue the O-1A, though that path requires substantial documented achievements.
Which cities in Texas have the most data science manager sponsorship jobs?
Austin leads Texas for data science manager sponsorship activity, driven by a dense concentration of tech companies and fast-growing startups. Dallas-Fort Worth ranks second, with strong demand from financial services, telecom, and enterprise software firms. Houston contributes meaningfully through its energy, healthcare, and logistics sectors. San Antonio has a smaller but growing presence, particularly tied to cybersecurity and defense-adjacent technology employers.
How to find data science manager visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find data science manager roles in Texas without sorting through positions that won't support international candidates. You can search by role and state to see employers actively hiring for data science leadership in Austin, Dallas, Houston, and beyond. Migrate Mate pulls from H-1B sponsorship history, so you're seeing employers with a real track record of sponsoring this type of role.
Are there any Texas-specific factors that affect data science manager sponsorship?
Texas has no state income tax, which affects prevailing wage benchmarking since the DOL calculates wages based on local cost of labor rather than take-home pay. Austin's rapid growth has pushed local prevailing wages upward, meaning employers must meet higher thresholds for LCA certification. Texas also benefits from strong university pipelines through UT Austin, Texas A&M, and Rice University, which means many employers in the state are experienced with international talent and sponsorship processes.
What is the prevailing wage for sponsored data science manager 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.