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Computer Science Grad Jobs in Wisconsin (NOW HIRING)

Bachelor's Degree in Computer Science, Math, Physics, Engineering, Statistics or related field, * 2+ years of experience post-grad in a Data Science / Machine Learning position. * Professional ...

Computer Science Grad information

What are the key skills and qualifications needed to thrive as a Computer Science Graduate, and why are they important?

To thrive as a Computer Science Graduate, you need a solid understanding of programming languages, algorithms, data structures, and fundamental computer science concepts, typically gained through a bachelor's degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and frameworks relevant to your specialization is often expected. Problem-solving, teamwork, and strong communication skills help you collaborate efficiently and adapt to evolving project requirements. These skills and qualities are crucial for building robust software solutions and succeeding in dynamic technology-driven workplaces.

What are some common entry-level positions for recent computer science graduates, and how do they typically collaborate within a team?

Recent computer science graduates often start in roles such as software engineer, QA analyst, IT support specialist, or junior web developer. In these positions, you'll usually work as part of a project team alongside more experienced engineers, designers, and sometimes product managers. Collaboration is key—you'll participate in code reviews, daily stand-up meetings, and pair programming sessions to learn best practices and contribute to shared goals. This team-oriented environment not only helps build technical skills but also offers mentorship opportunities and exposure to different aspects of software development.

What are Computer Science grads?

Computer Science grads are individuals who have completed a degree program in computer science, typically at the undergraduate or graduate level. They possess knowledge and skills in areas such as programming, algorithms, data structures, software engineering, and computer systems. These graduates are equipped to pursue careers in various tech fields including software development, data analysis, cybersecurity, and more. Their education often includes both theoretical foundations and practical experience with modern technologies.

What is the difference between Computer Science Grad vs Software Developer?

AspectComputer Science GradSoftware Developer
CredentialsDegree in Computer Science or related fieldOften requires a degree, but certifications and experience can suffice
Work EnvironmentAcademic settings, internships, entry-level rolesCorporate offices, tech companies, startups
Industry UsageEducational institutions, entry-level tech rolesProduct development, application building, coding tasks
Search & Comparison IntentEntry-level, educational background, career startPractical coding, project work, job opportunities

While a Computer Science Grad typically refers to someone with a degree in computer science, a Software Developer is a professional actively involved in coding and building software applications. Many Computer Science Grads pursue roles as Software Developers, but the latter emphasizes practical skills and work experience. Understanding this difference helps job seekers target the right roles and employers effectively.

Infographic showing various Computer Science Grad job openings in Wisconsin as of May 2026, with employment types broken down into 5% As Needed, 68% Full Time, 16% Part Time, 3% Temporary, and 8% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Full-time

Posted 6 days ago


Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

291st of 415 rated machine equipment manufacturers


Job description

We are Generac, a leading energy technology company committed to powering a smarter world.

Over the 60 plus years of Generac's history, we've been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

As a senior member of the team, you will have significant responsibility and influence in shaping its future direction. We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities building proofs of concept and implements them as a data product.

You should have deep expertise data science, machine learning and statistical analysis, and the ability to scope out project requirements, time estimates, and resources needed. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build highly scalable systems.

Successful candidates will have strong engineering skills and communication, as well as a belief that data driven processes lead to great products. You will need to have a passion for quality and an ability to understand complex systems.

Essential Duties:

  • We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities building proofs of concept and implements them as a data product.
  • Interact with different teams (Product, Data Platform, Frontend, etc.) to reach common ground and strive for win-win scenarios.
  • Keep updated with the state-of-the-art algorithms and techniques on the field and evaluate them in our business context.
  • Tell engaging data stories for both technical and non-technical audiences.
  • Transform business problems and opportunities into data product solutions.
  • Act as a mentor to junior data scientist.
  • Review pull requests from fellow team members.
  • Evaluate project ideas and provide technology input, prescribing appropriate application solutions, which balance business requirements with Generac's technology standards to arrive at the optimal solution.
  • Write user and technical specifications in line with business needs.

Basic Qualifications:

  • Bachelor's Degree in Computer Science, Math, Physics, Engineering, Statistics or related field,
  • 2+ years of experience post-grad in a Data Science / Machine Learning position.
  • Professional experience with Python.
  • Experience with SQL.
  • Experience with version control (GitHub or similar) in a team environment.
  • Demonstrated experience applying machine learning and data mining techniques.

Preferred Qualifications:

  • Master's and/or PhD are a strong plus
  • Experience in agentic AI across organization
  • Experience in cloud environments (AWS / Azure) are a strong plus

Knowledge, Skills, and Abilities:

  • Strong communication skills and commitment to teamwork
  • Sharp analytical abilities and proven design skills
  • Strong sense of ownership, urgency, and drive
  • Proven leadership abilities in an engineering environment in driving operational excellence and best practices.

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."


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