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Best Paying Computer Science Jobs in Wisconsin (NOW HIRING)

... computer vision, large language models (LLMs), and agent-based systems. * Lead the design and ... Establish and evolve analytical and AI best practices, documentation standards, and technical ...

... best practices. * Analyze support trends, identify opportunities for process improvement and ... Qualified candidates will have an associate degree in Information Technology, Computer Science ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

... best practices. * Analyze support trends, identify opportunities for process improvement and ... Qualified candidates will have an associate degree in Information Technology, Computer Science ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

... best practices. * Analyze support trends, identify opportunities for process improvement and ... Qualified candidates will have an associate degree in Information Technology, Computer Science ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

... best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul ... Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science ...

... best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul ... Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science ...

... best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul ... Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science ...

Work with business subject matter experts to determine best solutions * Serve as a subject matter ... S. degree in computer science, engineering with a strong statistical and programming background.

... payers, decision makers and other key stakeholders in the assigned therapy area and geography ... Organon delivers ingenious health solutions that enable people to live their best lives. We are a ...

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$102K - $141K/yr

... best practices and inspire professional development Qualifications : Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

Can you make 300k a year in tech?

In computer science roles such as software engineering, data science, and machine learning, it is possible to earn $300,000 or more annually, especially with seniority, specialized skills, or working at large tech companies. High salaries often require advanced expertise, experience, and sometimes additional certifications or advanced degrees.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What jobs pay $500,000 a year in the US?

In the field of computer science, roles such as senior software engineers, machine learning engineers, and technical executives like CTOs can earn $500,000 or more annually, especially with experience, stock options, and bonuses. High-paying positions often require advanced skills, leadership responsibilities, and working in high-growth or competitive industries like finance, tech, or startups.

What is the highest paying job for computer science?

The highest paying jobs in computer science are often executive roles such as Chief Technology Officer (CTO) or specialized positions like Machine Learning Engineer or Data Scientist, especially in industries like finance and technology. These roles typically require advanced skills, experience, and sometimes certifications, and can offer salaries exceeding $150,000 annually.

What are some common challenges faced by professionals in high-paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in one of the best paying computer science roles, such as a Software Engineer or Data Scientist, and why are they important?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially in roles such as software engineers, data scientists, or technical leads in high-demand industries or tech hubs. Achieving this salary often requires extensive experience, advanced skills in programming, algorithms, or cloud computing, and sometimes certifications or advanced degrees.
What are popular job titles related to Best Paying Computer Science jobs in Wisconsin? For Best Paying Computer Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Best Paying Computer Science jobs in Wisconsin look for? The top searched job categories for Best Paying Computer Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Best Paying Computer Science jobs? Cities in Wisconsin with the most Best Paying Computer Science job openings:
Manager of Data Science

Manager of Data Science

Cliftonlarsonallen

Hudson, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday 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 highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • 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.

Workflow Management

  • 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.

CrossFunctional Collaboration

  • 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.

What you will need:

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.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • 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

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012