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Data Scientist Machine Learning Jobs in Madison, WI

Labcorp

Operations Scientist II

Madison, WI · On-site

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Operations Scientist II Work Schedule - Mon - Fri (Day Shift) Job Responsibilities : * Conduct ...

Paradigm

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

... construction data. * Build scalable ML pipelines and backend services that integrate into ... Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. * 5+ years ...

Wisconsin

Cloud Infrastructure Architect

Madison, WI · Remote

... machine learning, AI-driven research workloads, and high-performance data processing in secure cloud environments. * Collaborates with engineers, data scientists, architects, and research ...

Wisconsin

Data Solutions Architect

Madison, WI · Remote

The position supports advanced analytics, machine learning, and federated research capabilities ... Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data ...

Ascendium

Learning Experience Designer

Madison, WI · Hybrid

Apply learner feedback, performance data, learning science, and instructional best practices to identify opportunities and inform learning experience design, curriculum development, and content ...

Ascendium

Learning Experience Designer

Madison, WI · On-site

Apply learner feedback, performance data, learning science, and instructional best practices to identify opportunities and inform learning experience design, curriculum development, and content ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Madison, WI

Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

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

As of Jul 31, 2026, the average yearly pay for data scientist machine learning in Madison, WI is $123,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, 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.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
What are popular job titles related to Data Scientist Machine Learning jobs in Madison, WI? For Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Data Scientist Machine Learning jobs in Madison, WI are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,693 per year, or $59.5 per hour.

Operations Scientist II

Labcorp

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,133 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories

Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.


Operations Scientist II

Work Schedule - Mon - Fri (Day Shift)

Job Responsibilities:

  • Conduct bioanalytical sample preparations

  • Document work and maintain study documentation and laboratory records.

  • Communicate with project managers, lead scientists, and supervisor on projects daily/weekly

  • Order consumables for projects as needed

  • Plan assigned workload on a daily basis and effectively schedule multiple assignments.

  • Provide detailed sample analysis and inventory updates to project managers and lead scientists to ensure projects meet agreed upon timelines

  • Set up, operate and perform routine and non-routine maintenance on general equipment

  • Attend and participate in project meetings

  • Support process improvement initiatives

  • Maintain a clean and safe laboratory work environment

  • Participate in client visits as needed

Minimum Qualifications:

  • Bachelor of Science/Arts (BS/BA) degree in chemistry, biology or laboratory science degree.

  • 1 year or more experience working in a laboratory setting (e.g. balances, pipettes, centrifuges etc.)

Preferred Qualifications:

  • Bachelor of Science/Arts (BS/BA) degree in chemistry, biology or any laboratory science degree.

  • 2 years or more experience working in a laboratory setting (e.g. balances, pipettes, centrifuges etc.)

  • 2 years or more experience with analytical instrumentation (for gas, liquids or solids)

  • 1 year or more GxP Documentation experience

  • Computer Experience (e.g., Word, Excel) or LIMS

Additional Job Standards:

  • Experience working multiple projects in various stages at the same time

  • Ability to handle a fast paced environment

  • Organized and detailed communication

  • Able to effectively communicate, both verbally and in writing

  • Experience working in a variety of study types, analysis procedures and methodology projects

Posting Open - 7/2 thru 7/7/26

Benefits:

Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

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