Data Scientist Jobs in Dallas, TX
Data Scientist jobs in Dallas are concentrated in Uptown, the Platinum Corridor along the North Dallas Tollway, and the medical and research cluster around Southwestern Medical District, with strong hiring across financial services, healthcare, and technology. Employers active right now include Tiger Analytics, Select Minds, and Texas Instruments. Find a role that fits below and apply directly.
Find Data Scientist JobsOverview
Open roles136+
Top employerTiger Analytics
Work type33% Remote
Top credentialDoctoral degree in statistics
Companies hiring8
Showing 4 of 136+ Data Scientist jobs
Web Marketing Program - Digital Experience Data Scientist
We won't show you this job again
Added 6d ago
Texas Instruments
Web Marketing Program - Digital Experience Data Scientist
Dallas, Texas
Added 6d ago
Data Scientist III
We won't show you this job again
Added 1w ago
UT Southwestern Medical Center
Data Scientist III
Dallas, Texas
Added 1w ago
Data Scientist III, Mineral Metabolism, Levi Lab
We won't show you this job again
Added 1w ago
UT Southwestern Medical Center
Data Scientist III, Mineral Metabolism, Levi Lab
Dallas, Texas
Added 1w ago
Senior Data Scientist
We won't show you this job again
Added 2w ago
Bestow
Senior Data Scientist
Dallas, Texas
Added 2w ago
Added 6d ago
Web Marketing Program - Digital Experience Data Scientist
Texas Instruments·Dallas, Texas
Job functions:
Bachelor's degree in statistics
10,000+ employees
Job Description
Change the world. Love your job.
We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.
The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models. You will collaborate closely with our marketing, sales, and enterprise IT teams to deliver data products that support key business objectives. If you enjoy solving complex problems, building foundational data products, and influencing overall business strategy, we’d love to hear from you.
Key Responsibilities:
Develop advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.
Identify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectiveness.
Partner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.
Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.
Work closely with engineering teams to drive scalable, real-time implementations.
Collaborate with cross-functional teams to translate business requirements into data science solutions.
Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
Ensure data science best practices are followed and models are properly documented and version-controlled.
Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.
Qualifications
Minimum Requirements:
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
Experience deploying models in production and adjusting models to improve performance.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
Expertise in statistical analysis, experimental design, and causal inference.
Strong proficiency in SQL and experience working with large datasets.
Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
Strong problem-solving skills and ability to translate complex analyses into actionable insights.
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
Experience with natural language processing (NLP) and text analytics.
Understanding of digital marketing concepts and customer journey mapping.
About Us
Why TI?
Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here
About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Job Info
Job Identification 25017931
Job Category Information Technology
Posting Date 09/11/2026, 03:56 PM
Apply Before 12/18/2026, 12:00 AM
Degree Level Bachelor's Degree
Locations FORE 12500 T I Blvd, Dallas, TX, 75243, US
ECL/GTC Required Yes
We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.
The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models. You will collaborate closely with our marketing, sales, and enterprise IT teams to deliver data products that support key business objectives. If you enjoy solving complex problems, building foundational data products, and influencing overall business strategy, we’d love to hear from you.
Key Responsibilities:
Develop advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.
Identify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectiveness.
Partner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.
Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.
Work closely with engineering teams to drive scalable, real-time implementations.
Collaborate with cross-functional teams to translate business requirements into data science solutions.
Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
Ensure data science best practices are followed and models are properly documented and version-controlled.
Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.
Qualifications
Minimum Requirements:
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
Experience deploying models in production and adjusting models to improve performance.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
Expertise in statistical analysis, experimental design, and causal inference.
Strong proficiency in SQL and experience working with large datasets.
Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
Strong problem-solving skills and ability to translate complex analyses into actionable insights.
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
Experience with natural language processing (NLP) and text analytics.
Understanding of digital marketing concepts and customer journey mapping.
About Us
Why TI?
Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here
About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Job Info
Job Identification 25017931
Job Category Information Technology
Posting Date 09/11/2026, 03:56 PM
Apply Before 12/18/2026, 12:00 AM
Degree Level Bachelor's Degree
Locations FORE 12500 T I Blvd, Dallas, TX, 75243, US
ECL/GTC Required Yes
Texas Instruments
Web Marketing Program - Digital Experience Data Scientist
Dallas, Texas
Added 6d ago10,000+ employees
Job functions:
Bachelor's degree in statistics
Job Description
Change the world. Love your job.
We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.
The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models. You will collaborate closely with our marketing, sales, and enterprise IT teams to deliver data products that support key business objectives. If you enjoy solving complex problems, building foundational data products, and influencing overall business strategy, we’d love to hear from you.
Key Responsibilities:
Develop advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.
Identify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectiveness.
Partner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.
Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.
Work closely with engineering teams to drive scalable, real-time implementations.
Collaborate with cross-functional teams to translate business requirements into data science solutions.
Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
Ensure data science best practices are followed and models are properly documented and version-controlled.
Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.
Qualifications
Minimum Requirements:
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
Experience deploying models in production and adjusting models to improve performance.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
Expertise in statistical analysis, experimental design, and causal inference.
Strong proficiency in SQL and experience working with large datasets.
Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
Strong problem-solving skills and ability to translate complex analyses into actionable insights.
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
Experience with natural language processing (NLP) and text analytics.
Understanding of digital marketing concepts and customer journey mapping.
About Us
Why TI?
Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here
About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Job Info
Job Identification 25017931
Job Category Information Technology
Posting Date 09/11/2026, 03:56 PM
Apply Before 12/18/2026, 12:00 AM
Degree Level Bachelor's Degree
Locations FORE 12500 T I Blvd, Dallas, TX, 75243, US
ECL/GTC Required Yes
We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.
The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models. You will collaborate closely with our marketing, sales, and enterprise IT teams to deliver data products that support key business objectives. If you enjoy solving complex problems, building foundational data products, and influencing overall business strategy, we’d love to hear from you.
Key Responsibilities:
Develop advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.
Identify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectiveness.
Partner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.
Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.
Work closely with engineering teams to drive scalable, real-time implementations.
Collaborate with cross-functional teams to translate business requirements into data science solutions.
Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
Ensure data science best practices are followed and models are properly documented and version-controlled.
Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.
Qualifications
Minimum Requirements:
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
Experience deploying models in production and adjusting models to improve performance.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
Expertise in statistical analysis, experimental design, and causal inference.
Strong proficiency in SQL and experience working with large datasets.
Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
Strong problem-solving skills and ability to translate complex analyses into actionable insights.
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
Experience with natural language processing (NLP) and text analytics.
Understanding of digital marketing concepts and customer journey mapping.
About Us
Why TI?
Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here
About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Job Info
Job Identification 25017931
Job Category Information Technology
Posting Date 09/11/2026, 03:56 PM
Apply Before 12/18/2026, 12:00 AM
Degree Level Bachelor's Degree
Locations FORE 12500 T I Blvd, Dallas, TX, 75243, US
ECL/GTC Required Yes
See All 136+ Data Scientist Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Job Market in Dallas
Who's Hiring
- Tiger Analytics23
- Select Minds23
- Texas Instruments23
- UT Southwestern Medical Center23
- Bestow11
Top Industries Hiring
- Technology & Software
- Education
Data Scientist Jobs in Dallas: Frequently Asked Questions
How do I get a data scientist job in Dallas?
Focus your search on Dallas's three strongest hiring clusters: financial services firms concentrated along the North Dallas Tollway, health systems and life sciences employers near the Southwestern Medical District, and technology companies headquartered in Uptown and Las Colinas. Candidates who combine Python or R proficiency with domain knowledge in finance or healthcare stand out most in this market. Networking through local data and analytics meetups in Dallas also opens doors that online applications alone won't.
Which companies hire data scientists in Dallas?
Employers hiring data scientists in Dallas right now include Tiger Analytics, Select Minds, and Texas Instruments, based on current listings on Migrate Mate as of September 2026. Dallas's market draws a wide mix, from global financial institutions and large health systems to mid-size fintechs and regional insurance carriers, all of which maintain in-house data science teams.
Are there remote data scientist jobs in Dallas?
Yes, data science is among the more remote-friendly professional roles because the work is primarily analytical and laptop-based rather than tied to physical equipment or on-site operations. About 67% of data scientist openings tied to Dallas are remote or hybrid as of September 2026, reflecting strong flexibility in this field. Modeling, pipeline development, and reporting work tends to be the most remote, while roles involving embedded teams or real-time operations in Dallas offices lean toward hybrid.
How can I get a data scientist job in Dallas with little or no experience?
The most realistic entry path in Dallas is targeting analytics or data analyst roles at mid-size companies in financial services or healthcare, then moving laterally into data science once you've built domain context. Dallas-area employers in insurance, banking, and hospital networks regularly hire junior analysts and promote from within. Building a portfolio with projects relevant to those industries, and completing internships through programs at UT Dallas or SMU, gives local hiring managers a concrete reason to take a chance on an early-career candidate.
Which industries hire the most data scientists in Dallas?
Dallas data scientist roles concentrate in Technology & Software and Education, based on current listings on Migrate Mate as of September 2026. Dallas's position as a major financial services hub, a growing technology corridor, and home to one of the largest medical districts in the country means those sectors consistently generate the highest volume of data science demand in the city.
See All 136+ Data Scientist Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
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