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Computer Science Training Jobs in Wisconsin (NOW HIRING)

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site

Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets ... Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent ...

Wisconsin

Assistant Professor

Menomonie, WI · On-site

The Mathematics, Statistics and Computer Science Department offers all the core courses necessary ... and Training Program (NIETP). The CNIE program, formerly known as the CNIT program, has been ...

University of Wisconsin-Madison

Scientist I

Madison, WI · On-site

$60K - $80K/yr

Training and/or published research in data science & machine learning * Domain expertise in high-energy physics and/or astrophysics Education: PhD in physics or related fields (especially computer ...

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Computer Science Training information

See Wisconsin salary details

$19.2K

$63.6K

$109.6K

How much do computer science training jobs pay per year?

As of Jun 24, 2026, the average yearly pay for computer science training in Wisconsin is $63,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,808.00 and $91,313.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

Is computer science dead due to AI?

Computer science training remains valuable as AI advances, as it provides foundational knowledge in algorithms, programming, and systems design essential for developing and maintaining AI technologies. AI creates new opportunities for computer science professionals in areas like machine learning, data analysis, and software development. Continuous learning and adapting to emerging tools are important for job seekers in this field.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

Which is harder, CS or IT?

Computer Science training typically involves more theoretical concepts, programming, algorithms, and problem-solving skills, making it generally more challenging academically. Information Technology training focuses on practical applications, system management, and support, which may be less abstract but still require technical knowledge. The difficulty depends on individual strengths and career goals, but CS often demands a deeper understanding of complex concepts and coding skills.

What training do you need to be a computer scientist?

To become a computer scientist, a bachelor's degree in computer science, software engineering, or a related field is typically required. Advanced roles may require a master's or Ph.D., along with strong programming skills, knowledge of algorithms, data structures, and experience with tools like programming languages and development environments.

What jobs can you get with a computer science course?

A computer science course prepares individuals for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like programming languages, operating systems, and development environments.
What are popular job titles related to Computer Science Training jobs in Wisconsin? For Computer Science Training jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Computer Science Training jobs in Wisconsin look for? The top searched job categories for Computer Science Training jobs in Wisconsin are:
Computer Science Training jobs near you
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 18 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,439 frontline employees who took The Breakroom Quiz

12th of 21 rated department stores

Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You’ll Do

  • Lead exploratory data analysis to cull actionable insights

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models 

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

  • Additional tasks may be assigned

Addendum

PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

  • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 

  • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models

What Kohl's employees say

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