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Applied Mathematics Jobs in Utah (NOW HIRING)

Varsity Tutors

Differential Equations Tutor

Logan, UT · Remote

$18 - $40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

Varsity Tutors

Differential Equations Tutor

Provo, UT · Remote

$18 - $40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

Required • Educational background (completed a Bachelor's or Master's degree or currently enrolled in a Master's degree) in computing, data science, applied mathematics, medical/health informatics ...

GAL AeroStaff

CMM Inspector

Park City, UT · On-site

$26.25 - $33.50/hr

Training in blueprint reading, precision measurement, or applied mathematics preferred * AS13001 certification is considered an asset Required Knowledge, Skills and Abilities * Strong knowledge of ...

Pwc

Risk Modeling Services P&C - Director

Salt Lake City, UT · On-site

$134K - $410K/yr

... Applied Mathematics, Mathematical Statistics, Mathematics, Statistics, Economics - At least 8 years of experience - Fellow of the Casualty Actuarial Society What Sets You Apart - Proven leadership in ...

BAE Systems

Eng Sr Prin - Test

UT · On-site

$120K - $205K/yr

Bachelor of Science in Aerospace, Mechanical, Electrical, or Software Engineering, Mathematics, Physics, or Computer Science. * 7+ years experience in GN&C, engineering, applied mathematics, data ...

Boeing

Radiation Effects Engineer

Ogden, UT · On-site

Option 2: Hold a master's or doctor's degree in physics, medical physics, or another physical science, engineering or applied mathematics; have two (2) years full-time practical training and/or ...

Boeing

Radiation Effects Engineer

Ogden, UT · On-site

Option 2: Hold a master's or doctor's degree in physics, medical physics, or another physical science, engineering or applied mathematics; have two (2) years full-time practical training and/or ...

Boeing

Radiation Effects Engineer

Ogden, UT · On-site

Option 2: Hold a master's or doctor's degree in physics, medical physics, or another physical science, engineering or applied mathematics; have two (2) years full-time practical training and/or ...

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All JobsApplied Mathematics JobsApplied Mathematics Jobs in Utah

Applied Mathematics information

See Utah salary details

$20.5K

$53.6K

$86K

How much do applied mathematics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied mathematics in Utah is $53,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $63,700.00 per year, depending on experience, location, and employer.

What is applied mathematics?

An Applied Mathematics job involves using mathematical methods and models to solve real-world problems in various industries, such as finance, engineering, data science, and healthcare. Professionals in this field apply statistical analysis, computational techniques, and mathematical modeling to optimize processes, predict outcomes, and support decision-making. They often work in interdisciplinary teams, collaborating with scientists, economists, or engineers. Common job roles include data analyst, operations researcher, and quantitative analyst.

What does someone in applied mathematics do?

Professionals in Applied Mathematics often work on projects that involve developing mathematical models to solve practical problems in areas such as finance, engineering, healthcare, or technology. Common responsibilities include analyzing large datasets, optimizing processes, running simulations, and collaborating with specialists from other fields to interpret results and implement solutions. The day-to-day work can range from pure data analysis to creating algorithms or forecasting models, depending on the specific industry. This dynamic role requires a balance of independent research and teamwork, providing opportunities to make a tangible impact across various sectors.

What are the key skills and qualifications needed to thrive in applied mathematics?

To thrive in Applied Mathematics, you need a strong background in mathematical modeling, statistical analysis, and problem-solving, usually supported by a degree in mathematics, applied mathematics, or a related field. Proficiency with programming languages such as Python, MATLAB, or R, as well as experience with data analysis software, is typically required. Strong analytical thinking, effective communication, and attention to detail help professionals present complex findings clearly and work collaboratively with interdisciplinary teams. These skills are essential for translating mathematical theories into practical solutions that address real-world business or scientific challenges.

How much money do applied mathematicians make?

Applied mathematicians typically earn a median annual salary of around $85,000 to $110,000, depending on experience, education, and industry. Salaries can be higher in fields like finance, data science, and technology, especially for those with advanced skills in programming and statistical analysis.

Is applied mathematics a useful degree?

Applied mathematics is a useful degree for careers in data analysis, engineering, finance, and research, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often work with mathematical modeling, programming, and statistical tools, making them valuable in various industries that rely on data-driven decision making.

What careers use applied mathematics?

Applied mathematics is used in careers such as data analyst, operations researcher, financial analyst, actuary, and engineer. These roles involve modeling, problem-solving, and analyzing data using mathematical techniques and tools like statistical software and programming languages.

What is the future of applied mathematics?

Applied mathematics is expected to grow as it plays a crucial role in data analysis, modeling, and problem-solving across industries such as technology, finance, and healthcare. Professionals in this field will likely need strong skills in programming, statistical analysis, and computational tools to stay relevant in evolving technological environments.

What are the most commonly searched types of Applied Mathematics jobs in Utah?

The most popular types of Applied Mathematics jobs in Utah are:

What are popular job titles related to Applied Mathematics jobs in Utah?

For Applied Mathematics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics jobs in Utah look for?

The top searched job categories for Applied Mathematics jobs in Utah are:

What cities in Utah are hiring for Applied Mathematics jobs?

Cities in Utah with the most Applied Mathematics job openings:

Applied Mathematics jobs near you
Infographic showing various Applied Mathematics job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $53,564 per year, or $25.8 per hour.

Data Scientist - Applied AI Scientist

Zions Bank

Midvale, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
Zions Bancorporation's Innovation Lab is seeking a creative and driven Data Scientist (Applied AI Scientist) who bridges the gap between rigorous statistical research and production-grade software engineering. This role is at the heart of our innovation engine. You will not only uncover deep data insights and design advanced AI algorithms, but you will also architect the robust, scalable code required to bring those concepts to life.
As a key member of the Innovation Lab, you will work in a fast-paced, experimental environment, turning ambiguous business challenges into tangible, data-driven prototypes. We need a scientist who treats machine learning as an engineering discipline, someone who understands the "why" behind the math, and the "how" of robust software implementation.
Visa Sponsorship:
This Data Scientist position is currently NOT eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
Responsibilities:
  • End-to-End AI Design: Design, prototype, and validate ML/AI solutions, translating complex business challenges into mathematical formulations and scalable, production-ready code.
  • Advanced Analytics & EDA: Perform deep exploratory data analysis, statistical testing, and data transformations on diverse datasets (structured and unstructured) to uncover predictive signals and validate hypotheses.
  • Production-Grade Science: Architect and implement modular, extensible, and testable Python codebases for AI experiments. Move beyond Jupyter notebooks by applying clean-code principles (SOLID, DRY) for seamless hand-off to ETO Engineering teams.
  • Agentic & Generative AI: Develop and experiment with applied generative AI and multi-agent architectures using orchestration frameworks (e.g., LangChain, LangGraph), focusing on optimal state management, robust RAG pipelines, and efficient system design.
  • Algorithmic Optimization: Optimize model inference, data processing pipelines, and memory footprints for latency and scalability, applying a strong understanding of data structures and algorithmic complexity.
  • Rigorous Evaluation: Build automated evaluation frameworks to benchmark model performance, mitigate hallucinations, track drift, and ensure algorithmic fairness via A/B testing and statistical rigor.
  • Collaboration & Communication: Act as the technical translator between research-focused ideation and engineering execution. Communicate complex statistical findings and system architectures to both technical and non-technical stakeholders.

Qualifications:
  • The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra, hypothesis testing, and the internal mechanics of ML algorithms (e.g., how optimizers work, loss functions, attention mechanisms).
  • The Engineer's Toolbelt: Advanced Python proficiency with a strong focus on Object-Oriented Programming (OOP) and modular design. You must be comfortable writing unit tests (e.g., Pytest) for your data pipelines and models.
  • Framework Depth: Deep expertise with ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas) and experience implementing custom logic, rather than just calling out-of-the-box models.
  • Generative AI Systems: Hands-on experience with NLP, Large Language Models (LLMs), and Vector Databases, with an understanding of how to evaluate and optimize these systems at scale.
  • Software Maturity: Proficiency with Git/version control, containerization (Docker), API development (FastAPI/Flask), and a working knowledge of how models fit into a CI/CD lifecycle (MLOps).
  • Problem Solving: Exceptional problem-solving skills, comfort with ambiguity, and the ability to own the data science lifecycle from abstract ideation to engineered prototype.
  • Education & Experience: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field plus 4+ years of hands-on experience in applied machine learning or data science. A Master's degree or PhD is a plus. A combination of education and experience may meet qualifications.

Location:
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:
  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

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About Zions Bank

Sourced by ZipRecruiter

Zions Bank recognizes that its success comes from the dedication, experience and talents of its diverse employee base. As we usher in the next generation of banking, we're committed to being the premier employer of choice. We're proud to have ranked among American Banker magazine's "Best Banks to Work For" almost every year since 2013, as Best Employer from Utah's Best of State, among the Best Places to Work in Idaho, and "among the Salt Lake Tribune's Top Workplaces. Make the leap into a new era of banking. Let us transform your career.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1873

Social media

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