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Applied Math Degree Jobs in Utah (NOW HIRING)

Engr 3, Quality

Salt Lake City, UT · On-site

$69K - $89K/yr

Preferred qualifications include: - Candidates with a science, technology, engineering, or math degree. Applied knowledge of applicable quality, engineering, regulatory, Corporate and/or Unit ...

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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

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Showing results 1-20

Applied Math Degree information

See Utah salary details

$20.5K

$53.6K

$86K

How much do applied math degree jobs pay per year?

As of Jul 15, 2026, the average yearly pay for applied math degree 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 do applied mathematicians actually do?

Applied mathematicians use mathematical techniques and models to solve real-world problems across various industries such as engineering, finance, healthcare, and technology. They analyze data, develop algorithms, and create simulations to optimize processes, inform decision-making, and improve systems. Proficiency in programming, statistical analysis, and problem-solving are essential skills in this role.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and technical roles that require quantitative problem-solving. The demand is expected to grow as data-driven decision-making becomes increasingly important in various sectors.

What can I do with a degree in applied maths?

A degree in applied mathematics prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often using tools like MATLAB, Python, or R, and can lead to careers in finance, technology, engineering, or research organizations.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that require modeling, statistical analysis, and computational tools, making it a versatile degree for various technical roles.
What are popular job titles related to Applied Math Degree jobs in Utah? For Applied Math Degree jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Applied Math Degree jobs? Cities in Utah with the most Applied Math Degree job openings:
Infographic showing various Applied Math Degree job openings in Utah as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, 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.
Manager, Data Science & Modeling

Manager, Data Science & Modeling

Cardworks

South Jordan, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


CardWorks rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 20 rated payment service providers


Job description

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day.


Who we are

Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide.


What we do

We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses.

Merrick Bank ranks among the top 20 FDIC-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.


Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.

Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.

Essential Functions:

  • Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and accountlevel valuation domains.
  • Provide endtoend ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
  • Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
  • Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
  • Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decisionmaking.
  • Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
  • Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Compliance with Laws and Regulations

  • Responsible for complying with all of the Bank's internal control policies and procedures.
  • Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
  • Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Additional Responsibilities

  • Perform other duties as assigned by senior management.
  • Maintain ethical standards, judgment, and confidentiality in all matters.

Requirements for Success:

Education & Experience:

  • Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
  • Advance Degree (Master's or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
  • Three (3) years of hands-on experience with a bachelor's degree, or two (2) year's hands-on experience with a master's degree, in quantitative fields (same as above).


Knowledge, Skills and Capabilities:

  • Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
  • Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
  • Strong verbal, written, and interpersonal communication skills.
  • Proven ability to collaborate effectively within crossfunctional teams.
  • Ability to navigate ambiguity and work handson with complex business and technical challenges.
  • Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
  • High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one's sleeves.

#INDHP1


Why join us

We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people.

At Merrick Bank, you'll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact.


Our Employee Value Proposition

  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.


We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.

We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.


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