Data Science Manager Jobs in Texas
Data Science Manager jobs in Texas are in strong demand, concentrated in technology, financial services, energy, and healthcare sectors, with openings at every level from team lead to senior director. Austin, Dallas, and Houston anchor most of the hiring activity, where companies like Dell Technologies, JPMorgan Chase, and ExxonMobil consistently staff data science leadership roles. The most sought-after specialties in Texas are machine learning infrastructure, business intelligence strategy, and applied analytics in energy and fintech. Find a role that fits below and apply directly.
Find Data Science Manager JobsOverview
Showing 5 of 169+ Data Science Manager jobs
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
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
See All 169+ Data Science Manager Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Science Manager Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Apple15
- Tiger Analytics7
- Deloitte6
- EY6
- Amazon5
Top Industries Hiring
- Technology & Software47
- Investment & Asset Management21
- Consulting & Professional Services19
- Electronics & Hardware16
- Accounting & Auditing12
What Texas Employers Look For
The qualifications that appear most often in data science manager jobs across Texas.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Five or more years of experience in data science or analytics with at least two in a leadership role
- Proficiency in Python, R, or SQL alongside experience with machine learning frameworks and cloud platforms
- Demonstrated ability to translate business problems into data-driven solutions and present findings to executives
- Experience managing cross-functional data science teams and owning the full model development lifecycle
- Familiarity with Texas industries such as energy, financial services, or healthcare data environments and their regulatory context
Data Science Manager Jobs in Texas: Frequently Asked Questions
How do you become a data science manager in Texas?
Becoming a data science manager in Texas typically requires a bachelor's degree in a quantitative field such as statistics, computer science, or engineering, with many employers preferring a master's degree. There is no state-issued license for this role in Texas. Most candidates build several years of hands-on data science work, develop leadership skills through project or team lead roles, and build a portfolio of end-to-end machine learning or analytics projects before stepping into management. Texas employers in energy, fintech, and healthcare often value domain knowledge alongside technical depth.
Which companies hire data science managers in Texas?
Employers hiring data science managers in Texas right now include Apple, Tiger Analytics, and Deloitte, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters, major energy firms, and a fast-growing fintech corridor in Dallas and Austin means consistent demand for experienced data science leadership across industries.
Which Texas cities have the most data science manager jobs?
Austin, Dallas, and Houston have the most data science manager openings in Texas. Houston's energy sector and large medical center drive demand there, Dallas draws volume from financial services headquarters and corporate tech hubs, and Austin's concentration of technology companies and high-growth startups makes it one of the most active markets for data science leadership in the state.
Are there remote data science manager jobs in Texas?
Yes, and more than most fields. About 28% of data science manager openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and highly portable nature of the work. Strategic planning, model review, and stakeholder reporting transfer well to remote settings, while roles tied to on-site data infrastructure or embedded industry teams such as energy operations tend to require more in-person presence.
How can I get hired as a data science manager in Texas with little or no experience?
The most realistic path is moving into management from a senior individual contributor role rather than applying directly to manager titles. Texas employers like Dell, USAA, and large hospital systems in the Texas Medical Center run associate data scientist programs and rotational analytics roles that build the cross-functional exposure managers need. Transitioning from a senior analyst, machine learning engineer, or data engineer role is common. A strong portfolio of end-to-end projects, a master's degree, and demonstrated mentorship or project leadership experience give candidates a concrete edge when competing for first-time manager openings.
Where can I find and apply to data science manager jobs in Texas?
You can find and apply to data science manager jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search for roles that match your experience level, preferred metro, and industry focus, then apply directly to the ones that fit.
See All 169+ Data Science Manager Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs