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Full Time Mathematical Modeling Jobs in Austin, TX

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience ... with model compression techniques like quantization, pruning, etc. These are permanent full time ...

Victory

Data Scientist

Austin, TX · On-site +1

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

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All JobsMathematical Modeling JobsFull Time Mathematical Modeling JobsFull Time Mathematical Modeling Jobs in Austin, TX

Full Time Mathematical Modeling information

See Austin, TX salary details

$27.3K

$56.2K

$60K

How much do full time mathematical modeling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time mathematical modeling in Austin, TX is $56,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $59,000.00 per year, depending on experience, location, and employer.

What is a full time mathematical modeling?

A Full Time Mathematical Modeling job involves using mathematical techniques and computational methods to create models that represent real-world systems or processes. Professionals in this field analyze data, build mathematical representations, and use simulations to predict outcomes or solve complex problems. These models are often applied in industries such as finance, engineering, healthcare, and environmental science. Full-time roles typically require strong analytical skills, proficiency in mathematics and programming, and the ability to communicate findings to both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as a full time mathematical modeling professional?

To thrive in Full Time Mathematical Modeling, you need a strong background in mathematics, statistics, and analytical reasoning, usually supported by a relevant degree such as mathematics, engineering, or applied science. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex models into actionable insights. These competencies are crucial for developing accurate, reliable models that inform decision-making across diverse industries.

What are some common challenges faced by professionals in full time mathematical modeling roles?

Full-time mathematical modeling professionals often encounter challenges such as translating complex real-world problems into mathematical formulations and ensuring that their models are both accurate and computationally efficient. Collaboration with domain experts is crucial, as modelers need to understand the underlying business or scientific problems deeply. Additionally, they must regularly validate and refine models based on new data or feedback, which requires strong communication skills and adaptability. Balancing precision with practical constraints, such as data limitations or computational resources, is also a frequent aspect of the role.

What is the difference between Full Time Mathematical Modeling vs Data Analyst?

AspectFull Time Mathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering firmsBusiness, marketing, healthcare sectors
Employer & Industry UsageFinance, aerospace, tech companiesRetail, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles involving complex mathematical modelsAnalyzing data to inform business decisions

Full Time Mathematical Modeling focuses on developing and applying advanced mathematical techniques to solve complex problems, often in research or technical industries. Data Analysts interpret and visualize data to support business strategies. While both roles require strong analytical skills, Mathematical Modelers typically work on theoretical models, whereas Data Analysts focus on data interpretation and reporting.

What jobs use full time mathematical modeling?

Full time mathematical modeling is used in roles such as data scientist, quantitative analyst, operations researcher, financial analyst, and risk analyst. These jobs involve developing models to analyze data, optimize processes, or forecast outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

What are popular job titles related to Full Time Mathematical Modeling jobs in Austin, TX?

For Full Time Mathematical Modeling jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Full Time Mathematical Modeling jobs in Austin, TX look for?

The top searched job categories for Full Time Mathematical Modeling jobs in Austin, TX are:

What cities near Austin, TX are hiring for Full Time Mathematical Modeling jobs?

Cities near Austin, TX with the most Full Time Mathematical Modeling job openings:

Full Time Mathematical Modeling jobs near you

Principal Data Scientist - Energy/Power Systems - 26205

Enverus

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 3 days ago

Job description

Principal Data Scientist - Power and Renewables
Why YOU want this position
At Enverus,we'recommitted to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights,we'rehelping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. Butwe'vecontinued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables,powerand utilities to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development,investmentand sourcing, and help reduce costs by automating crucial business operations. Of course, thiswouldn'tbe possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

As the technical leader for market modeling, you will define and drive the analytical capabilities that power our Market Management System.

You'll partner with Product Management and Engineering to translate customer needs into sophisticated optimization models, forecasting capabilities, and production software.

Responsibilities include:

  • Lead the design and evolution of large-scale fundamental power market models.
  • Define the mathematical and analytical approaches behind new product capabilities.
  • Develop optimization, forecasting, and simulation methodologies for nodal electricity markets.
  • Collaborate closely with software engineers to ensure models are scalable, performant, and production-ready.
  • Work directly with customers and product managers to understand market problems and translate them into commercial solutions.
  • Guide technical direction across multiple product initiatives and influence long-term product strategy.
  • Mentor other data scientists and market modelers while raising the technical bar across the organization.
  • Stay current with evolving electricity markets, optimization techniques, and forecasting methodologies.

What We're Looking For

We're seeking someone with deep expertise in wholesale electricity markets who enjoys combining mathematical modeling, software development, and product innovation.

Required

  • Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field.
  • Extensive experience developing or applying models for nodal wholesale electricity markets.
  • Strong understanding of market-clearing algorithms, security-constrained unit commitment (SCUC), economic dispatch (SCED), and transmission constraints.
  • Experience with mixed-integer linear programming (MILP) and large-scale optimization.
  • Strong Python and SQL skills.
  • Ability to work across product, engineering, and commercial teams to translate complex market concepts into software products.
  • Excellent communication skills and the ability to explain sophisticated technical concepts to both technical and non-technical audiences.

Preferred

  • Master's or PhD focused on power systems, operations research, optimization, or related fields.
  • Experience developing or operating a Market Management System (MMS).
  • Experience with AC/DC power flow modeling.
  • Experience building commercial software products for ISO/RTO markets or power trading organizations.
  • Experience mentoring technical teams or leading complex product initiatives.

Why This Role Matters

This role sits at the intersection of electricity markets, mathematical optimization, and software engineering.

You'll help define the future of one of Enverus' flagship power market platforms while working alongside engineers, product managers, and industry experts to deliver software that directly influences decisions across the global energy market.

Benefits

  • Medical
  • Dental
  • Vision
  • Life, AD&D, Disability, Critical Illness, and Accident Insurance
  • Employee Assistance Program (EAP)
  • Health Savings Account (HSA)
  • Commuter Benefits
  • Lifestyle & Wellbeing Program
  • Pet Insurance
Employment Type: Full-Time

Apply