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Scientific Computing Jobs in Dallas, TX (NOW HIRING)

Data Scientist Location: Irving, TX- 3 days in office. Duration: 6-12 months Detail Bachelor ... Experience with Azure AutoML Experience with cloud computing platforms, preferably Microsoft Azure.

The Computational Scientist will also utilize the University's high performance computing resource to facilitate data collection and analysis, parallel computing, and large-scale data storage. This ...

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Scientific Computing information

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How much do scientific computing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for scientific computing in Dallas, TX is $31.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $39.71 per hour, depending on experience, location, and employer.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What are the most commonly searched types of Scientific Computing jobs in Dallas, TX?

The most popular types of Scientific Computing jobs in Dallas, TX are:

What are popular job titles related to Scientific Computing jobs in Dallas, TX?

For Scientific Computing jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Scientific Computing jobs in Dallas, TX look for?

The top searched job categories for Scientific Computing jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Scientific Computing jobs?

Cities near Dallas, TX with the most Scientific Computing job openings:

Infographic showing various Scientific Computing job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $64,795 per year, or $31.2 per hour.

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Re-posted 22 days ago


Job description

Job Title: Data Scientist
Location: Irving, TX- 3 days in office.
Duration: 6-12 months
Detail Job Description
Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher preferred.
Minimum 10 years of professional experience as a Data Scientist or similar role.
Proficiency in training and deploying data models
Proficiency in Python and experience with relevant libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Experience with Azure AutoML
Experience with cloud computing platforms, preferably Microsoft Azure.