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Computational Data Science Jobs in Texas (NOW HIRING)

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

GRVTY

Data Scientist 3

San Antonio, TX

What Impact You'll Have GRVTY is seeking experienced Data Scientist to perform tasks associated ... other science disciplines with a substantial computational component may be considered if it ...

RealmOne

Data Scientist 3

San Antonio, TX · On-site

They are seeking a Data Scientist 3 to perform tasks associated with Big Data Platform management ... other science disciplines with a substantial computational component may be considered if it ...

Moffitt

... computational immunology, clinical trials, biomarkers, precision medicine, and next-generation ... Interdisciplinary Team Science - Work alongside leading cancer biologists, clinicians ...

4432

Data Scientist III

Dallas, TX · On-site

This position supports advanced data science and computational research across multiple projects within the Biostatistics and Data Science Core (BDSC). The role emphasizes artificial intelligence ...

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Computational Data Science information

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$15

$52

$75

How much do computational data science jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for computational data science in Texas is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $62.69 per hour, depending on experience, location, and employer.

What is computational data science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

What are the key skills and qualifications needed to thrive as a computational data scientist?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

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

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

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

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

Computational Data Science jobs near you
Infographic showing various Computational Data Science 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 $110,094 per year, or $52.9 per hour.

Tenure-Track: Assistant Professor (CHEN, AI and Machine Learning in Chemical Engineering)

College Station, TX • On-site

Texas A&M University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Texas A&M Universityexternal

Full-time

Posted 19 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

Job description

Description
The Artie McFerrin Department of Chemical Engineering, College of Engineering at Texas A&M University invites applications for a full-time, tenure-track, assistant professor position with a 9-month academic appointment and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2027.
The principal focus for this position is at the intersection of computational data science and Chemical Engineering. We are particularly interested in candidates whose research leverages Artificial Intelligence (AI) and Machine Learning (ML) to advance process systems design, process safety and risk analysis, optimization, characterization, and predictive modeling of materials.
The successful candidate is expected to establish and sustain a nationally recognized, externally funded research program that integrates computational data science with chemical engineering. Areas of emphasis may include, but are not limited to, data-driven process modeling and simulation of complex, large-scale systems; AI-accelerated materials design, including structure-property relationships, self-assembly, and processing optimization; machine learning-driven characterization and stabilization of colloidal systems; physics-informed machine learning; generative models for materials discovery; advanced ML and AI methods for process design, safety and risk analysis, and high-throughput computational screening methodologies addressing fundamental and applied challenges in chemical engineering.
The successful candidate will be expected to conduct original, scholary research; build self-sustaining research programs; teach both graduate and undergraduate courses and mentor students; and contribute an appropriate degree of service to the Department, College, University, and profession.
Candidates must demonstrate a strong commitment to excellence in teaching and mentoring at both undergraduate and graduate levels, as well as active engagement in departmental, college, and professional service. The ideal candidate will articulate a clear vision for integrating experimental, theoretical, and data-driven approaches to solve complex problems at the forefront of chemical engineering research.
Qualifications
Applicants must hold a Ph.D. in Chemical Engineering or a closely related field, with an outstanding record of scholarly achievement, the ability to secure competitive research funding, and evidence of effective teaching and mentorship.
Application Instructions
Applicants must submit a cover letter, curriculum vitae, a personal Statement (your statement should include your philosophy and plans for research, teaching, and service as applicable), and a list of four contact references (including postal addresses, phone numbers and email addresses) by applying for this specific position at https://apply.interfolio.com/192372. Full consideration will be given to applications received by December 15, 2026. Applications received after that date may be considered until the position is filled. It is anticipated the appointment will begin in Fall 2027.
For questions regarding the application process or other inquiries, please contact Mr. Mateo Andres (chenfacultyservices@tamu.edu).

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