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Computer Science Economics Jobs in Michigan (NOW HIRING)

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) * Proficiency in SQL or other data querying language * An understanding of ...

$1.4K/wk

A Master's degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other social sciences, with strong quantitative ...

... Computer and Information Science, Library Science, Economics and Finance & Technology, Applied Physics, Mathematics, Business Administration/Management, Management Information Systems preferred ...

Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research) * Minimum of 5 years of experience in analytics, business ...

Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, or a related field. Advanced degrees are a ...

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... economic analysis, and electric supply forecasting. • Maximize utilization of critical electric ... computer science, engineering, data science, or a related field, with two (2) or more years of ...

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Showing results 1-20

Computer Science Economics information

See Michigan salary details

$9.6K

$85.4K

$139.9K

How much do computer science economics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for computer science economics in Michigan is $85,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $19,200.00 and $139,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

What is a Computer Science Economics job?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What are the key skills and qualifications needed to thrive in the Computer Science Economics position, and why are they important?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

What are 5 careers in economics?

Careers in economics include roles such as economic analyst, financial analyst, policy advisor, data scientist, and research economist. These positions often require strong analytical skills, proficiency with statistical tools, and a solid understanding of economic theories and models.

Is computer science useful for economics?

Computer science is highly useful for economics, as it provides tools for data analysis, modeling, and simulation that enhance economic research and decision-making. Skills in programming, algorithms, and data management are valuable for economists working with large datasets and complex models.
What are popular job titles related to Computer Science Economics jobs in Michigan? For Computer Science Economics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Computer Science Economics jobs in Michigan look for? The top searched job categories for Computer Science Economics jobs in Michigan are:
Infographic showing various Computer Science Economics job openings in Michigan as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,416 per year, or $41.1 per hour.
Data Scientist

Full-time

Retirement, PTO

Re-posted 16 days ago


Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

16th of 278 rated insurance


Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.
Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to:
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience
  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler".
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits
The salary offered will be commensurate with skills and experience.
We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.
Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
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