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Phd Computer Science Jobs in Wisconsin (NOW HIRING)

Generac

Data Scientist II

Waukesha, WI · On-site

Bachelor's Degree in Computer Science, Math, Physics, Engineering, Statistics or related field ... Master's and/or PhD are a strong plus * Experience in agentic AI across organization * Experience ...

Usyd

$89K - $121K/yr

Working in an interdisciplinary manner will bring together medical, computer science and ... with PhD students Sponsorship / work rights for Australia Visa Sponsorship is available Pre ...

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How much do phd computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for phd computer science in Wisconsin is $83,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $94,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
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Data Scientist II

Generac

Waukesha, WI • On-site

Full-time

Posted 17 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

289th of 417 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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