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Data Science And Analytics Jobs in Texas (NOW HIRING)

SOSi

Data Scientist

El Paso, TX

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SOSi

Data Scientist

El Paso, TX · On-site

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SOSi

Data Scientist

El Paso, TX · On-site

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

Fisher Investments

Data Science Analyst

Arlington, TX · Hybrid

You will have a passion for data and mathematics and a strong desire to learn and grow in the field of Data Science. You will partner with an Analyst who will provide mentorship and growth. You will ...

New

Fisher Investments

Data Science Analyst

Dallas, TX · Hybrid

You will have a passion for data and mathematics and a strong desire to learn and grow in the field of Data Science. You will partner with an Analyst who will provide mentorship and growth. You will ...

New

Fisher Investments

Data Science Analyst

Plano, TX · Hybrid

You will have a passion for data and mathematics and a strong desire to learn and grow in the field of Data Science. You will partner with an Analyst who will provide mentorship and growth. You will ...

New

Fisher Investments

Data Science Analyst

Plano, TX · Hybrid

You will have a passion for data and mathematics and a strong desire to learn and grow in the field of Data Science. You will partner with an Analyst who will provide mentorship and growth. You will ...

Posted today

Fisher Investments

Data Science Analyst

Garland, TX · Hybrid

You will have a passion for data and mathematics and a strong desire to learn and grow in the field of Data Science. You will partner with an Analyst who will provide mentorship and growth. You will ...

New

SWBC

Data Scientist II

San Antonio, TX · On-site

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

Swbc

Data Scientist II

San Antonio, TX

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

SWBC

Data Scientist II

San Antonio, TX · On-site

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

SOSi

Data Scientist with Security Clearance

El Paso, TX · On-site

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SWBC

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II will work closely with senior team members to design, build, and deploy data ... science, analytics, or machine learning roles. • Proficiency in Python and SQL, with working ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Texas

Data Science And Analytics information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data science and analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science and analytics in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

What are the key skills and qualifications needed to thrive as a Data Science and Analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What are Data Science and Analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities in Texas are hiring for Data Science And Analytics jobs? Cities in Texas with the most Data Science And Analytics job openings:
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

DATA SCIENTIST

Ignite Fueling Innovation

San Antonio, TX • On-site

Full-time

Re-posted 9 days ago

Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is seeking an experienced Data Scientist to support data analytics, machine learning, and EMS data refinement in support of the Joint Electromagnetic Warfare Center (JEWC).

This position focuses on refining, integrating, and presenting EMS data from multiple sources, developing machine-readable export capabilities, and creating dynamic software models to enhance electromagnetic spectrum operations. Key Responsibilities: Lead efforts to refine and validate data housed in the EMS repository by identifying and addressing informational gaps, correcting errors, and ensuring data consistency and accuracy. Structure EMS data in a hierarchical format, linking unit, platform, and equipment EMS parameters to ensure operational relevance.

Develop and document data integration and gap analysis processes in compliance with DoDI 8320.02 and applicable DoD data governance standards. Enable EMS data export in machine-readable formats such as JSON or through APIs, ensuring proper documentation of export functionality and adherence to dissemination controls. Develop and validate dynamic software models of EMS systems with both geospatial and non-geospatial representations

Provide documentation detailing data sources, model development, validation processes, and system integration activities. Collaborate with technical teams, engineers, and operational SMEs to ensure EMS data products meet mission needs.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.

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