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Mathematical Science Jobs in Texas (NOW HIRING)

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$153.8K

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How much do mathematical science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for mathematical science in Texas is $179,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $166,800.00 and $192,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Mathematical Scientist, you need strong analytical thinking, advanced mathematical knowledge, and typically at least a master's or Ph.D. in mathematics or a related field. Proficiency with statistical software, programming languages like Python or MATLAB, and mathematical modeling tools is often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate and convey complex ideas clearly. These skills are vital for developing innovative solutions, conducting rigorous research, and translating mathematical concepts into real-world applications.

What is a mathematical scientist?

Mathematical scientists are professionals who use advanced mathematical theories, techniques, and models to solve practical problems in various fields such as engineering, business, science, and technology. They conduct research to develop new mathematical principles or to apply existing ones in innovative ways. Mathematical scientists may work as mathematicians, statisticians, data scientists, or analysts, often collaborating with other experts to analyze data, optimize processes, and make informed decisions. Their work is essential in industries ranging from finance and technology to healthcare and government.

What can you do with a mathematical science degree?

A mathematical science degree prepares individuals for careers in data analysis, actuarial science, research, finance, and technology. Graduates often work as statisticians, data scientists, operations analysts, or in roles requiring strong problem-solving and quantitative skills, frequently using tools like programming languages and statistical software.

What is the difference between Mathematical Science vs Data Analyst?

AspectMathematical ScienceData Analyst
Required CredentialsMathematical Science degree, strong math backgroundDegree in statistics, mathematics, or related field
Work EnvironmentResearch labs, academia, industry R&DBusiness, finance, healthcare, tech companies
Industry UsageResearch, academia, governmentBusiness intelligence, marketing, operations
Common Search/ComparisonMathematical Science vs Data Analyst

Mathematical Science focuses on advanced mathematical theories and research, often in academic or research settings. Data Analysts apply statistical and analytical skills to interpret data for business decisions. While both roles require strong math skills, Mathematical Science emphasizes theoretical understanding, whereas Data Analysts focus on practical data interpretation in industry contexts.

Is mathematical science a good degree?

Mathematical science is a strong degree for careers in data analysis, research, finance, and technology, as it develops skills in problem-solving, quantitative reasoning, and programming. Graduates often find opportunities in industries that value analytical and computational expertise, and advanced roles may require further specialization or graduate education.

What are some common challenges faced by professionals working in mathematical science roles, and how can they be addressed?

Professionals in Mathematical Science often encounter challenges such as translating complex mathematical concepts into practical solutions and communicating technical findings to non-expert stakeholders. Additionally, projects may require collaboration across multidisciplinary teams, which can present difficulties in aligning different approaches and expectations. To address these challenges, it's helpful to develop strong communication skills, seek feedback from peers, and stay up-to-date with industry software tools. Participating in collaborative projects and attending professional workshops can also enhance your ability to work effectively within diverse teams.

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

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

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

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

What cities in Texas are hiring for Mathematical Science jobs?

Cities in Texas with the most Mathematical Science job openings:

Mathematical Science jobs near you
Infographic showing various Mathematical Science job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $179,865 per year, or $86.5 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 25 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find “the” optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

Apply