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Computer Science Economics Jobs in Wisconsin (NOW HIRING)

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

... Science, Computer Applications, Computer Engineering, Computer Engineering & Accounting, Data Processing/Analytics/Science, Economics, Electrical Engineering, Engineering, Engineering and Business ...

Bachelor's or Master's degree in Business Administration, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience ...

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Computer Science Economics information

See Wisconsin salary details

$11.1K

$98.9K

$162K

How much do computer science economics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science economics in Wisconsin is $98,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,200.00 and $161,500.00 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 Wisconsin? For Computer Science Economics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Computer Science Economics jobs in Wisconsin look for? The top searched job categories for Computer Science Economics jobs in Wisconsin are:
Infographic showing various Computer Science Economics job openings in Wisconsin 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 $98,916 per year, or $47.6 per hour.

Manager of Data Science

CLA (CliftonLarsonAllen)

Hudson, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
CLA (CliftonLarsonAllen) is a top 10 national professional services firm dedicated to creating opportunities for clients, people, and communities. They are seeking a Manager of Data Science to lead a team in constructing complex data solutions, overseeing AI initiatives, and ensuring high-quality delivery of analytical projects.
Responsibilities:
• Provide day‑to‑day leadership, coaching, development, and performance management.
• Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
• Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
• Build and sustain a high‑performing team culture rooted in collaboration, quality, accountability, and innovation.
• Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
• Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
• Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
• Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
• Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
• Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
• Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.
• Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
• Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
• Oversee planning, prioritization, and resourcing across projects and teams.
• Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
• Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
• Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
• Remove obstacles, manage risks, and ensure consistent execution across initiatives.
• Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
• Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
• Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
• Communicate progress, risks, and results clearly to both technical and non technical audiences.
• Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
• Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.
Qualifications:
Required:
• 8 years of relevant experience required.
• Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
• Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
• Supervisory experience required.
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Preferred:
• Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
• Masters in a Data Science/Analytics/AI is a plus
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.