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Computer Science Engineering Jobs in Wisconsin (NOW HIRING)

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

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

Automation Engineer

Waunakee, WI · On-site

$70K - $100K/yr

Bachelor's degree in computer science, Engineering Technology, or related discipline Experience: Required: 3+ years of hands-on PLC and HMI programming experience with Rockwell Automation platforms ...

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.

Senior Data Engineer

Germantown, WI · On-site

$107.80K - $146.50K/yr

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) * 5+ years of experience in data engineering or related roles * Advanced SQL and strong proficiency in ...

Manager, DevOps Engineering

Wauwatosa, WI · Hybrid

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills:Strong knowledge of ...

Manager, DevOps Engineering

Wauwatosa, WI · On-site

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills: Strong knowledge ...

Master's degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable * Minimum of 1 year of relevant technology experience required * Working knowledge ...

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Computer Science Engineering information

See Wisconsin salary details

$49K

$122.7K

$138.8K

How much do computer science engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for computer science engineering in Wisconsin is $122,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $132,700.00 per year, depending on experience, location, and employer.

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 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 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 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:
Data Science Manager, Gen AI - SFL Scientific

Data Science Manager, Gen AI - SFL Scientific

Deloitte

Milwaukee, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• Be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps
• 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
• 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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