1

Computer Science Engineering Jobs in Wisconsin (NOW HIRING)

MS in Physics or Geophysics, Electrical Engineering, Computer Science, or Math How to Apply: Please click the Apply Now box to start the application process. Please upload the following documents:

New

Senior Data Engineer

Germantown, WI ยท On-site

$107K - $146K/yr

... in Computer Science, Engineering, or related field (or equivalent experience)5+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar ...

WI ยท On-site

$120 - $160/hr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field* 7+ years of experience in software engineering, AI engineering, machine learning, or related ...

WI ยท On-site

$150 - $210/hr

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a ...

New

Augmented Reality Learning Developer

Waukesha, WI ยท On-site

$52.50 - $67.75/hr

Bachelor's degree in Computer Science, Engineering, Education, or related field; specialized training in Augmented Reality training development preferred. * Demonstrated experience in the training ...

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Augmented Reality Learning Developer

Waukesha, WI ยท On-site

$52.50 - $67.75/hr

Bachelor's degree in Computer Science, Engineering, Education, or related field; specialized training in Augmented Reality training development preferred. * Demonstrated experience in the training ...

WI ยท On-site

$110 - $150/hr

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a ...

New

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Showing results 21-40

Computer Science Engineering information

What is computer science engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What are the key skills and qualifications needed to thrive as a computer science engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What are some common challenges faced by computer science engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

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

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and technical support.

What are popular job titles related to Computer Science Engineering jobs in Wisconsin?

For Computer Science Engineering jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Computer Science Engineering job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Senior Data Scientist

NYP - Westchester Division

Cornell, WI โ€ข On-site

Full-time

Medical, Life

Re-posted 4 days ago


Job description

LocationNew York, New YorkShift:Day (United States of America)Description:

Senior Data Scientist

Position Summary

Works closely with multi-disciplinary teams, including intuitional leaders and other key stakeholders in the development and implementation of data driven insights and strategies to advance institutional goals and mission. Performs advanced analyses of structured and unstructured data to solve multiple and/or complex problems using advanced statistical techniques, mathematical analyses (including machines learning), and knowledge of the organization and/or industry.

Essential Job Duties

  • Assists in translating project objectives into discrete and comprehensive description of necessary data and other resources. Aids in the development plan(s) to mitigate impact due to any limitations in available data/resources.
  • Assists in the definition of milestones, deliverables, and estimates timelines for all assigned projects. Assumes an ownership role of some tasks, as appropriate, and effectively coordinates across teams to reach defined milestones.
  • Identifies and accesses necessary data assets across cloud and on-premises data warehouses.
  • Collaborates with subject matter experts to ensure accurate data definitions and to validate quality of all data endpoints as required.
  • Utilizes strong programming skills to evaluate, explore, model, and integrate data from a variety of sources (EHR, national databases, other registries, other data systems/platforms). Demonstrates experience working with data from diverse modalities (structured, unstructured).
  • Develops and/or uses algorithms and statistical predictive models. Applies proficient knowledge in algorithms and predictive models to investigate problems, detect patterns, and relate findings to project's objective(s).
  • Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning to experimenting with predictive models to deployment of results.
  • Writes, validates, and executes code to perform required modeling or analytical tasks by way of cloud and local compute environments (CPU or GPU).
  • Creates informative and detailed reports, as well as data visualizations to summarize data and results; understands and evaluates appropriate performance metrics.
  • Actively engages in meetings with stakeholders. Contributes content to, and may lead, presentations or auxiliary discussions of summary reports with audience.
  • Follows best practices in documentation and use of code repositories, containers/environments, and version control. Works to ensure best practices are upheld and enforced.
  • Adheres to all institutional policies and practices for appropriate use and safeguarding of data.
  • Assists junior data scientists with tasks, as appropriate.
  • Maintains multiple projects simultaneously and functions effectively both independently and as part of a team.
  • Keeps abreast of innovative technologies and approaches pertinent to data science; evaluates their applicability and fit for current projects.
  • Performs other special projects and duties as assigned.

Required Qualifications

  • Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience
  • 3+ years of research experience in managing and analyzing data, and proven expertise working with clinical and research information systems
  • Strong analytic skills and ability to use a variety of software tools such as R, SAS, SQL, MS Excel, and MS Access
  • Experience analyzing and interpreting data, maintaining and managing large datasets, and ensuring the integrity of the data
  • Outstanding interpersonal skills and the ability to excel in team collaboration as well as in independent work

Preferred Qualifications

  • Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

  • 2026 Best Place to Work - Glassdoor

  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

  • 2026 America's Dream Employers - Forbes

  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$97,000-$145,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.