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Applied Math Jobs in South Dakota (NOW HIRING)

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Applied Math information

See South Dakota salary details

$22.5K

$58.8K

$94.5K

How much do applied math jobs pay per year?

As of Aug 30, 2026, the average yearly pay for applied math in South Dakota is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math 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 utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in South Dakota?

For Applied Math jobs in South Dakota, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in South Dakota look for?

The top searched job categories for Applied Math jobs in South Dakota are:

Infographic showing various Applied Math job openings in South Dakota as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Data Scientist II, Senior or Principal

Black Hills Energy

Rapid City, SD • On-site

$79K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Black Hills Energy rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

26th of 53 rated energy and utility


Job description

Data Scientist II, Senior or Principal

Location: Rapid City, SD, United States
Job ID: 36384
Date Posted: Aug 26, 2026
Position will close at 12:00am CT on Aug 30, 2026
Salary: $79400 to $192400 Annually

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Job Description

Job Specifications

Black Hills Energy is people powered and purpose driven. Our team uses the power of energy to improve life for over one million customers in 800+ communities across the West and Midwest. We seek talented, caring people who embody our core values and contribute to a culture of inclusion and growth. As an organization, we believe the best part of working on our team is our commitment to making tomorrow better than today-for our customers, communities and each other.

Position summary:

The Data Scientist II will be engaged in statistical forecasting, mathematical optimization, machine learning, and artificial intelligence projects. This position will collaborate with cross-functional teams to develop and deploy scalable AI- and technology-enabled solutions that enhance productivity, decision-making, and business outcomes. The Data Scientist II will be dedicated to increasing technical proficiency, staying apprised of the latest industry developments, and evaluating innovative technologies that can deliver measurable value to the organization.

Pay Range: This posting includes the full pay range for this position. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, experience, and internal equity.
Level II: $79,400 - $119,100 
Senior: $97,150 - $160,150 
Principal: $116,500 - $192,400 

Reporting Relationship: Manager, Enterprise Data Science

Location: Our Company Headquarters in Rapid City, South Dakota.

Relocation Assistance: Relocation assistance is available based on individual circumstances! Details to be shared during the offer process.

Essential Functions:
    Builds robust computer programs to enable repeatable and efficient analysis using R and/or Python.
    Leverages machine learning, advanced statistics, and artificial intelligence to build predictive models, develop forecasts, and quantify complex relationships within data.
    Leverages large language models and generative AI tools
    Builds data pipelines and database objects within a SQL Server database using data engineering best practices.
    Uses SQL to efficiently query and update data.
    Strong professional communication skills, including the ability to explain model design, risks, and outputs, and the ability to collaborate within the team to create optimal products.
    Knowledge of best-practice model risk management: validation, testing, and control standards, including testing of assumptions, computational accuracy, and documentation of model weaknesses and risks.
Additional Responsibilities:
    Continuous pursuit of innovative knowledge and skills in the fields of statistics, economics, operations research, computer science, and data science.
What Is Required:
Level II: 
    Bachelor's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
    Minimum of 3 years of data science experience.
Senior:
    Master's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
    Minimum of 5 years of data science experience.
Principal:
    Master's Degree Data Science, Statistics, Computer Science, Applied Mathematics, related field or an equivalent combination of education and experience.
    Minimum of 8 years of data science experience.
What Is Desired:
    Experience prototyping and developing applications in R and/or Python. 
    Experience developing projects using machine learning, advanced statistics, and artificial intelligence (AI).
    Experience using large language models and generative AI tools.
    Experienceutilizing data engineering concepts and techniques.
    Experience using SQL to query and update data and build database objects.
 

This description is not intended to be an all-inclusive list of responsibilities, duties, and requirements for employees in this position. Job descriptions may and do change periodically. Where positions are covered by a collective bargaining unit agreement, the terms and conditions of the agreement will apply.


About our Company: We are a customer, growth and safety focused utility company that is dedicated to our communities. We improve life with energy as an energy partner of choice. Our diverse culture fuels unique perspectives, opening doors to new insights and possibilities. Based in Rapid City, South Dakota, we have over 3000 employees and serve 1.3 million natural gas and electric utility customers across eight states (South Dakota, Montana, Wyoming, Colorado, Nebraska, Iowa, Kansas, and Arkansas).

Enjoy our Comprehensive Benefits Package!  Annual discretionary bonuses, 401(k) (6% company match and up to 9% company retirement contribution), tuition reimbursement, generous paid time off benefits, including paid holidays and parental leave, company paid life insurance and disability benefits (short and long term), critical illness, accident & group hospital insurance, pet insurance, an employee assistance program and well-being benefits, and competitive medical, dental and vision insurance.

Candidates must successfully pass a pre-employment drug screen and background check.  If there is anything that may show up in these reports that may conflict with the position requirements, feel free to contact the Black Hills Energy recruiting team at [email protected]. 

Black Hills Energy does not sponsor applicants for work visas. All applicants must be legally authorized to work in the US.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or status as a protected veteran.  If you require reasonable accommodation, please visit  careers.blackhillsenergy.com for more information.   

Wage: 79400 to 192400
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