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Data Science Degree Jobs in Texas (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. * Advanced degrees are a plus. * 5 years of experience in data science and machine learning. * Demonstrate ...

Valero Energy

Data Science Specialist

San Antonio, TX · On-site

Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. * 5+ years of experience in programing ...

Valero

Data Science Specialist

San Antonio, TX · On-site

Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. * 5 years of experience in programing ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Michaels Stores

Manager - Data Science

Irving, TX · On-site

The Manager - Data Science role is essential for determining effective CRM tactics that drive ... Required : • Bachelor's degree in relevant quantitative field required • Fluent in data ...

Michaels Stores

Manager - Data Science

Irving, TX

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... Bachelor's degree in relevant quantitative field required, Master's preferred Minimum Special ...

Michaels Stores Inc

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... Bachelor's degree in relevant quantitative field required, Master's preferred Minimum Special ...

TBK Bank, SSB

Director of Data Science

Dallas, TX

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

Triumph

Director of Data Science

Dallas, TX · On-site

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

Triumph Financial

Director of Data Science

Dallas, TX · On-site

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

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Showing results 1-20

All JobsData Science Degree JobsData Science Degree Jobs in Texas

Data Science Degree information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data science degree jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science degree 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 is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What are popular job titles related to Data Science Degree jobs in Texas?

For Data Science Degree jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Texas look for?

The top searched job categories for Data Science Degree jobs in Texas are:

What cities in Texas are hiring for Data Science Degree jobs?

Cities in Texas with the most Data Science Degree job openings:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

DATA SCIENTIST - Healthcare Domain

ALIS Software

Dallas, TX • On-site

Other

Posted 2 days ago

New

Job description

Roles & Responsibilities

Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels.

Design and execute analytical methods including segmentation, causal inference, forecasting, propensity modeling, uplift modeling, and experiment design.

Defend analytical methodology and findings during review and governance forums.

Provide an initial evidence-based answer within five business days, including inconclusive or negative results.

Maintain daily progress updates covering hypotheses tested, findings, confidence level, next steps, and blockers.

Develop production-quality, version-controlled analytical code with reproducible notebooks and documented assumptions.

Partner with Data Engineers to define features, granularity, historical data requirements, and address data gaps proactively.

Convert validated findings into metric definitions and business logic for visualization and reporting.

Collaborate with client data scientists and provide comprehensive model documentation for handover and reuse.

Additional Responsibilities (Senior Data Scientist)

Serve as analytics lead for the pod.

Own analytical quality across engagements.

Act as peer reviewer and mentor internal and client analysts.

Drive analytics best practices and technical excellence.

Senior Data Scientist: 10+ years of applied data science experience.

Advanced proficiency in Python and/or R and SQL.

Demonstrated experience deploying analytical models into production.

Strong foundation in statistics, machine learning, experimentation, and predictive analytics.

Strong background in statistics, mathematics and with data science degree

Healthcare, medical device, life sciences, or regulated-industry experience preferred.

Apply