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Computer Science Economics Jobs in Wisconsin (NOW HIRING)

Exactsciences

Sr. Analyst, Operations Analytics

Madison, WI · On-site

$91K - $155K/yr

Evaluate the economic and/or operational impact of new products and/or strategies. * Effectively ... Bachelor's degree in Engineering, Math, Physics, Computer Science, or related field or High School ...

Farm Systems

Computational Biologist

Madison, WI

... computer science for breakthroughs of economic importance to cattle genetics. PROFESSIONAL QUALIFICATIONS AND EXPERIENCE * Ph.D. in Computational Biology, Systems Biology, Genome Science, or a ...

AgSource

Computational Biologist

Madison, WI

... computer science for breakthroughs of economic importance to cattle genetics. PROFESSIONAL QUALIFICATIONS AND EXPERIENCE * Ph.D. in Computational Biology, Systems Biology, Genome Science, or a ...

Urus Group LP

Computational Biologist

Madison, WI

... computer science for breakthroughs of economic importance to cattle genetics. PROFESSIONAL QUALIFICATIONS AND EXPERIENCE * Ph.D. in Computational Biology, Systems Biology, Genome Science, or a ...

AgSource

Computational Biologist

Madison, WI · On-site

... computer science for breakthroughs of economic importance to cattle genetics. PROFESSIONAL QUALIFICATIONS AND EXPERIENCE * Ph.D. in Computational Biology, Systems Biology, Genome Science, or a ...

Urus

Computational Biologist

Madison, WI · On-site

... computer science for breakthroughs of economic importance to cattle genetics. PROFESSIONAL QUALIFICATIONS AND EXPERIENCE * Ph.D. in Computational Biology, Systems Biology, Genome Science, or a ...

Raket Webbyrå AB

WI

... computer science, information technology, health sciences, innovation and creative arts. Kristiania ... The School of Economics, Innovation, and Technology delivers research and study programmes at ...

Compeer Financial

Quantitative Analyst

Sun Prairie, WI · Hybrid

Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the ...

Exact Sciences

Manager, Customer Care Analytics

Madison, WI · On-site

$112K - $190K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... Evaluate the economic and/or operational impact of new products and/or strategies. * Effectively ...

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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 Jun 1, 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 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 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.

Can I make 200k with a computer science degree?

Computer Science professionals can potentially earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes advanced certifications or advanced degrees.
More about Computer Science Economics jobs
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:
What cities in Wisconsin are hiring for Computer Science Economics jobs? Cities in Wisconsin with the most Computer Science Economics job openings:
Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Wisconsin as of May 2026, with employment types broken down into 1% As Needed, 66% Full Time, 28% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 16% Physical, 7% Hybrid, and 77% Remote job distribution, with an average salary of $98,916 per year, or $47.6 per hour.

Senior Data Scientist

West Bend Mutual Insurance Company

West Bend, WI

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

West Bend Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 259 rated insurance

Job description

Senior Data Scientist
Job Locations US-Remote
ID 2026-3518
Category Data
Full-Time
Remote/Hybrid Remote
Company Overview

Recognized as aMilwaukee Journal SentinelTop Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary
The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management.
Work Location

This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Responsibilities & Qualifications
Key Responsibilities
    Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
  • Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
  • Translate business and strategic objectives into clear analytics, reporting, and data requirements
  • Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
  • Document, present, and explain modeling methodologies and results for business partners and regulatory review
  • Identify, evaluate, and integrate internal and external data sources to meet business needs
  • Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
  • Promote analytics best practices and provide consultation on data-driven initiatives
  • Evaluate third-party data, models, and analytical tools in partnership with vendors
Required / Preferred Qualifications
  • 6+ years of advanced analytics, data science, or predictive modeling experience
  • 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
  • Strong knowledge of P&C insurance data, data sources, and business processes
  • Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
  • Experience working with large datasets using SQL, Spark, or cloud-based data platforms
  • Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
  • Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
  • Self-motivated, analytical, and collaborative mindset
Education & Credentials (Preferred)
  • Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field
  • P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA
Why Join Us
  • Work on high-impact analytics that directly influence pricing, underwriting, and risk decisions
  • Collaborate with experienced analytics and insurance professionals
  • Flexible work options (remote, hybrid, or office-based depending on location)
  • Competitive compensation, benefits, and professional development opportunities

#LI-BW1

Salary Statement

The salary range for this position is $140,000-$180,000.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.

Benefits

West Bend offers a comprehensive benefit plan including but not limited to:

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance
  • West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.

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