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Applied Mathematics Computer Science Jobs in Dallas, TX

Varsity Tutors

College Computer Science Tutor

Irving, TX · Remote

$18 - $40/hr

... mathematics, and theory of computation. Ability to explain time complexity analysis, sorting ... Familiar with college computer science curricula and common challenges such as understanding ...

Varsity Tutors

College Computer Science Tutor

Plano, TX · Remote

$18 - $40/hr

... mathematics, and theory of computation. Ability to explain time complexity analysis, sorting ... Familiar with college computer science curricula and common challenges such as understanding ...

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All JobsApplied Mathematics Computer Science JobsApplied Mathematics Computer Science Jobs in Dallas, TX

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These roles often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or MATLAB in various industries including finance, technology, and research.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What are popular job titles related to Applied Mathematics Computer Science jobs in Dallas, TX?

For Applied Mathematics Computer Science jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Dallas, TX look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Applied Mathematics Computer Science jobs?

Cities near Dallas, TX with the most Applied Mathematics Computer Science job openings:

Applied Mathematics Computer Science jobs near you

Senior Optimization Scientist / Operations Research Scientist

InnoCore Solutions, Inc.

Dallas, TX • On-site

Other

Posted 7 days ago

Job description

Responsibilities:

  • Work with business, Operations Research, and IT teams to understand requirements and translate business rules into mathematical optimization models.
  • Develop, maintain, and improve Mixed Integer Programming (MIP) models for task assignment and workforce planning.
  • Build and integrate optimization models using FICO Xpress, Gurobi, or CPLEX.
  • Tune solver performance and improve model runtime, solution quality, and scalability.
  • Analyze solver logs, model inputs/outputs, and data to identify performance, data-quality, and feasibility issues.
  • Troubleshoot modeling issues such as conflicting constraints, incorrect defaults, and infeasible solutions.
  • Validate and benchmark optimization results against business requirements and manual processes.
  • Develop and maintain Python/Streamlit dashboards to visualize optimization results.
  • Write clean, tested, and maintainable production-quality code.
  • Work closely with Java engineers to integrate and productionize optimization models.
  • Use AI coding tools such as GitHub Copilot or Claude to improve development speed while maintaining code quality.
  • Communicate model results and trade-offs effectively with both technical and business teams.

Requirements:

  • 5+ years of experience in Operations Research, Mathematical Optimization, Data Science, or a related quantitative field.
  • Strong hands-on experience with MIP / mathematical optimization.
  • Experience developing and deploying optimization models into production.
  • Strong knowledge of linear programming, integer programming, constraints, and objective functions.
  • Experience with FICO Xpress, Gurobi, or CPLEX. FICO Xpress is highly preferred.
  • Experience with Java and/or Python for optimization model development.
  • Experience with solver tuning, model performance optimization, and troubleshooting infeasible models.
  • Strong data analysis and problem-solving skills.
  • Experience working with large datasets; Azure ADLS experience is preferred.
  • Experience with Python/Streamlit or similar data visualization tools.
  • Strong communication and teamwork skills.

Education:

  • Bachelor's degree or PhD in Operations Research, IndustrialEngineering, Applied Mathematics, Optimization, Computer Science, Engineering, Statistics, Data Science, or a related field.

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