1

Algorithm Scientist Jobs in Wisconsin (NOW HIRING)

Senior Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Develop and optimize scientific analysis algorithms with a focus on accuracy, performance, and usability. * Drive performance optimization of algorithms and scalability of data pipelines, including ...

Job Senior Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Develop and optimize scientific analysis algorithms with a focus on accuracy, performance, and usability. * Drive performance optimization of algorithms and scalability of data pipelines, including ...

Senior Software Engineer

Madison, WI

$123K - $162K/yr

Develop and optimize scientific analysis algorithms with a focus on accuracy, performance, and usability. * Drive performance optimization of algorithms and scalability of data pipelines, including ...

Utilize proprietary software platform to implement image processing algorithms on GPUs (using C ... Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering * Ideally 1 ...

Utilize proprietary software platform to implement image processing algorithms on GPUs (using C ... Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering * Ideally 1 ...

Design of new control algorithms and performing Applications Engineering * Develop new firmware or ... Bachelor of Science in Electrical Engineering, Computer Engineering, or directly related ...

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$102K - $141K/yr

... algorithm scalability and deployment based on agile business priorities and initiatives • ... Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ...

next page

Showing results 1-20

Algorithm Scientist information

See Wisconsin salary details

$52K

$115K

$141.7K

How much do algorithm scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for algorithm scientist in Wisconsin is $115,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $141,100.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
Digital Personalization Analytics Expert (Remote)

Digital Personalization Analytics Expert (Remote)

Kohl's

Menomonee Falls, WI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


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

Data Science Role

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl's customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You'll Do
  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value
  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment
  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies
  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders
  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability
  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence
  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications
  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards
  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact
  • Establish and maintain strong working relationships and achieve results by working collaboratively with others
  • Additional tasks may be assigned
What Skills You Have

Required:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field
  • 5+ years (or 2+ years with a Master's degree) of progressively complex data science experience
  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value
  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub
  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly
  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred:

  • Master's degree and/or Ph.D.
  • Digital / Ecommerce data science experience
  • Retail and Marketing experience

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom