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Mathematics Computer Science Jobs in Wisconsin (NOW HIRING)

Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 3+ years of progressively complex data science experience * Extensive ...

Decision Scientist

Oregon, WI · On-site +1

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Reliability Engineer

Oshkosh, WI

$64.50K - $103.50K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field. * Experience working with data analysis, modeling, or statistical methods. * Strong ...

Decision Scientist

Wausau, WI · On-site +1

$40/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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 ...

Reliability Engineer

Oshkosh, WI · On-site

$64.50K - $103.50K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field. * Experience working with data analysis, modeling, or statistical methods. * Strong ...

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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Showing results 1-20

Mathematics Computer Science information

See Wisconsin salary details

$17.8K

$59.4K

$123.3K

How much do mathematics computer science jobs pay per year?

As of May 29, 2026, the average yearly pay for mathematics computer science in Wisconsin is $59,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,525.00 and $76,703.00 per year, depending on experience, location, and employer.

What is a Mathematics Computer Science job?

A Mathematics Computer Science job involves using mathematical theory, computational techniques, and algorithms to solve complex problems in computing. Professionals in this field work in areas such as software development, data analysis, cryptography, artificial intelligence, and scientific computing. They apply logical reasoning and mathematical models to optimize processes, analyze data, and develop efficient algorithms. These roles are found in tech companies, research institutions, finance, cybersecurity, and other industries that rely on computational methods.

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

To excel in a Mathematics Computer Science role, a solid background in discrete mathematics, algorithms, programming, and problem-solving is essential, usually demonstrated by a relevant degree. Familiarity with programming languages like Python, Java, or C++, as well as experience with computational tools, mathematical modeling software, and possibly certifications in data science or software development are highly valued. Strong analytical thinking, clear communication, and the ability to work collaboratively are important soft skills for this position. These attributes enable professionals to design robust solutions, efficiently analyze data, and contribute effectively within interdisciplinary teams.

What are the typical daily responsibilities for someone working in a Mathematics Computer Science position?

Professionals in Mathematics Computer Science combine mathematical theory with computational techniques to solve complex problems, so your daily tasks may include developing algorithms, analyzing large data sets, creating mathematical models, and implementing software solutions. You could also be expected to collaborate with engineers, scientists, or business analysts on various projects, participate in code reviews, and document your findings. Depending on the employer, responsibilities may extend to optimizing existing systems, conducting research, and staying updated with advancements in both fields. This variety ensures a dynamic work environment and opportunities for continual learning and professional development.
What are popular job titles related to Mathematics Computer Science jobs in Wisconsin? For Mathematics Computer Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mathematics Computer Science jobs in Wisconsin look for? The top searched job categories for Mathematics Computer Science jobs in Wisconsin are:
Infographic showing various Mathematics Computer Science job openings in Wisconsin as of May 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution, with an average salary of $59,397 per year, or $28.6 per hour.
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 22 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th 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


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