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Data Scientist Machine Learning Jobs in Wisconsin

KOHLS

Data Scientist I

Menomonee Falls, WI

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

Generac

Data Scientist II

Waukesha, WI

You should have deep expertise data science, machine learning and statistical analysis, and the ability to scope out project requirements, time estimates, and resources needed. You should have ...

ATI

Data Scientist

Cudahy, WI · On-site

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Next Gen Alloys

Data Scientist

Cudahy, WI

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

ATI

Data Scientist

Cudahy, WI · On-site

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Sprinklr

Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field. * 5+ years of ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Innovizant LLC

Data Scientist

Madison, WI

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Wisconsin

Data Scientist Machine Learning information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data scientist machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data scientist machine learning in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
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Data Scientist Machine Learning jobs near you
Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)

Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)

Target

Stevens Point, WI

$132K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,846 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $132,000.00 - $286,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD DATA SCIENTIST - DIGITAL ITEM RECOMMENDATIONS (RECSYS)

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithmsthat power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on.

As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at massive scale.

You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.

Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.

Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs.

About you:

  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant industry experience
  • 5 plus years of experience leading the development, evaluation and deployment of machine learning (ML) solutions while partnering with engineering teams to deliver scalable production systems
  • Demonstrated experience building and scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
  • Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
  • Experience leveraging modern AI and Generative AI tools to accelerate development, experimentation and model delivery
  • Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
  • Deep understanding of machine learning, deep learning, optimization, statistics, probability and experimental design
  • Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
  • Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
  • Ability to influence technical direction and drive alignment across product, engineering and business stakeholders
  • Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
  • Ability to mentor applied data scientist and help establish best practices for AI/ML and cloud-native development
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative and global environment
This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member worksfull-time from home oran alternatelocation that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 07/09/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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