Data Scientist Jobs in Texas
Data Scientist jobs in Texas are among the most active in the country, with strong demand concentrated in energy analytics, financial technology, healthcare informatics, and enterprise technology across entry-level through senior and principal roles. The largest hiring metros are Houston, Dallas-Fort Worth, and Austin, where employers like ExxonMobil, Dell Technologies, and USAA maintain substantial data science teams. The most in-demand specialties include machine learning engineering, NLP, and predictive analytics for oil-and-gas and financial services applications. Find a role that fits below and apply directly.
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Join the Payments Data & Analytics Customer Insights team where we leverage data science, research, and business acumen to promote client-focused innovation and apply your technical expertise to lead analytics and GenAI/agentic AI initiatives that generate actionable merchant and consumer insights, inform product strategy, and deliver measurable impact for Chase Merchant Services clients.
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will be responsible for leading and executing big data analytics projects in response to product innovation for Merchant Services and deliver insights that optimize merchant location strategy and targeted marketing for small business merchants, as well as generate deep consumer and business insights.
Job Responsibilities:
- Build customer insights workstreams: frame business problems, define hypotheses, identify success metrics, design analyses, and deliver recommendations with clear commercial impact.
- Develop scalable datasets and pipelines using tools such as Snowflake, SQL, and Python, enabling repeatable reporting, experimentation, and advanced analytics.
- Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs and iterate data model designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Drive GenAI solution development: partner with SMEs and product partners to prototype and iterate on LLM-powered assistants and workflow automations; translate business needs into effective prompts, retrieval strategies, and agent workflows.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Partner with data owners, product managers, data engineers, and other stakeholders to aid in the development of data models, algorithms and ensure solutions are scalable. Communicate results, insights, and recommendations clearly to business stakeholders and senior leadership and support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills:
- Bachelor's or Master's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field; Minimum of 3 years relevant work experience.
- Strong programming skills in in Python and SQL for data processing and analysis.
- Expertise in quantitative research techniques and analytics using Python and SQL.
- Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
- Knowledge of machine learning/data science theory, techniques, and tools.
- Experience in leveraging Large Language Models (LLMs) and agent AI techniques. Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills:
- Experience in data analysis, data science, or a related field.
- Familiarity with AWS, Snowflake for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
- Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Join the Payments Data & Analytics Customer Insights team where we leverage data science, research, and business acumen to promote client-focused innovation and apply your technical expertise to lead analytics and GenAI/agentic AI initiatives that generate actionable merchant and consumer insights, inform product strategy, and deliver measurable impact for Chase Merchant Services clients.
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will be responsible for leading and executing big data analytics projects in response to product innovation for Merchant Services and deliver insights that optimize merchant location strategy and targeted marketing for small business merchants, as well as generate deep consumer and business insights.
Job Responsibilities:
- Build customer insights workstreams: frame business problems, define hypotheses, identify success metrics, design analyses, and deliver recommendations with clear commercial impact.
- Develop scalable datasets and pipelines using tools such as Snowflake, SQL, and Python, enabling repeatable reporting, experimentation, and advanced analytics.
- Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs and iterate data model designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Drive GenAI solution development: partner with SMEs and product partners to prototype and iterate on LLM-powered assistants and workflow automations; translate business needs into effective prompts, retrieval strategies, and agent workflows.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Partner with data owners, product managers, data engineers, and other stakeholders to aid in the development of data models, algorithms and ensure solutions are scalable. Communicate results, insights, and recommendations clearly to business stakeholders and senior leadership and support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills:
- Bachelor's or Master's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field; Minimum of 3 years relevant work experience.
- Strong programming skills in in Python and SQL for data processing and analysis.
- Expertise in quantitative research techniques and analytics using Python and SQL.
- Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
- Knowledge of machine learning/data science theory, techniques, and tools.
- Experience in leveraging Large Language Models (LLMs) and agent AI techniques. Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills:
- Experience in data analysis, data science, or a related field.
- Familiarity with AWS, Snowflake for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
- Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 138+ Data Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Scientist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services4
- Electronics & Hardware2
- Banking & Financial Services2
- Healthcare & Medical Services2
What Texas Employers Look For
The qualifications that appear most often in data scientist jobs across Texas.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Proficiency in Python and SQL for data wrangling, modeling, and pipeline development
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Familiarity with cloud platforms, particularly AWS or Azure, for deploying models at scale
- Domain knowledge in energy, financial services, or healthcare preferred by Texas employers
Data Scientist Jobs in Texas: Frequently Asked Questions
How do you become a data scientist in Texas?
Texas does not require a state-issued license to work as a data scientist, so the path runs through education and demonstrated skills. Most Texas employers expect at least a bachelor's degree in statistics, computer science, mathematics, or engineering, with a master's degree preferred for senior roles. Building a portfolio of projects in Python or R and earning recognized credentials such as AWS Certified Machine Learning or Google Professional Data Engineer strengthens applications significantly in the Texas market.
How much do data scientists make in Texas?
Data scientists in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Texas?
Employers hiring data scientists in Texas right now include JPMorganChase, USAA, and HP, based on current listings on Migrate Mate as of November 2026. Texas's concentration of energy corporations in Houston, financial services firms in Dallas, and technology companies in Austin means demand stays consistent across multiple industries throughout the year.
Which Texas cities have the most data scientist jobs?
Austin, Houston, and Plano account for the majority of data scientist openings in Texas. Houston's demand is driven by energy giants and healthcare systems, Dallas-Fort Worth by financial services firms and large corporate headquarters, and Austin by its dense technology sector, which includes semiconductor companies, SaaS businesses, and growing enterprise analytics teams.
Are there remote data scientist jobs in Texas?
Yes, and more than most fields. About 72% of data scientist openings tied to Texas are remote or hybrid as of November 2026, reflecting how central this role is to analytical and desk-based work. Fully remote openings are most common in machine learning and business intelligence roles, while positions requiring access to proprietary data infrastructure or lab environments tend to be on-site.
How can I get hired as a data scientist in Texas with little or no experience?
The most realistic entry path is landing an analyst or junior data role first and building toward a data scientist title from there. Large Texas employers including energy companies in Houston and financial institutions in Dallas regularly hire for data analyst and business intelligence associate roles that accept recent graduates. Texas universities produce strong pipeline programs, and completing a capstone project or Kaggle portfolio before applying gives candidates a measurable edge over peers without hands-on examples.
Where can I find and apply to data scientist jobs in Texas?
You can find and apply to data scientist jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers. Find roles that match your experience and specialization and apply directly to each one. No account is required to see or apply to listings.
See All 138+ Data Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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