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Data Science Jobs in Manitowoc, WI (NOW HIRING)

Systems Analyst (Data Scientists)

Kohler, WI ยท On-site

$96K - $121K/yr

NOTICE Kohler Company is seeking approval to permit employment of one H-1B worker in the classification of Systems Analyst (Data Scientists) from 08/27/2026 to 08/26/2027 pursuant to the previously ...

Pursuing a bachelor's degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore ...

Pursuing a bachelor's degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore ...

New

Pursuing a bachelor's degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore ...

New

Pursuing a bachelor's degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore ...

Kohler Intern - Digital

Kohler, WI ยท On-site

$26.50 - $33.13/hr

... Science, Data Engineering, Cybersecurity, Business Administration, or related fields. * Must be legally authorized to work in the United States on an ongoing basis without company sponsorship.

Analyzes and interprets sensory and consumer data using appropriate statistical methods and ... Master's degree in Food Science or Sensory Science required; PhD preferred. Equivalent experience ...

Analyzes and interprets sensory and consumer data using appropriate statistical methods and ... Master's degree in Food Science or Sensory Science required; PhD preferred. Equivalent experience ...

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Data Science information

See Manitowoc, WI salary details

$36.2K

$118.6K

$189.8K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in Manitowoc, WI is $118,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $131,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What job categories do people searching Data Science jobs in Manitowoc, WI look for?

The top searched job categories for Data Science jobs in Manitowoc, WI are:

What cities near Manitowoc, WI are hiring for Data Science jobs?

Cities near Manitowoc, WI with the most Data Science job openings:

Infographic showing various Data Science job openings in Manitowoc, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,571 per year, or $57 per hour.

Data Analytics Intern (Data Science)

Acuity Insurance

Sheboygan, WI โ€ข On-site

Part-time

Vision, Retirement

Posted 9 days ago


Job description

Acuity is seeking a Data Analytics Intern to support data analytic insights and visualization using mathematical models, algorithms, machine learning techniques, and data analytics platforms. This position is located at our headquarters in Sheboygan, WI. Click here to learn more about the Acuity internship experience.

Start Date: Summer 2027

ESSENTIAL FUNCTIONS:ย 

  • ย Conduct appropriate research and data collection.
  • ย Summarize analysis and findings with accuracy and proper level of detail.
  • ย Work with others to develop best solutions and accomplish goals.
  • ย Regular and predictable attendance.
  • ย Perform other duties as assigned.
  • ย Follow department standards and procedures.ย 

EDUCATION:ย 

Currently enrolled in a formal University undergraduate degree program pursuing mathematics, actuarial science, or related field, and possessing high level of achievement, including academic grades.

EXPERIENCE:ย 

Previous responsibilities demonstrating goal-orientated outcomes and teamwork.ย 

OTHER QUALIFICATIONS:

  • Effective verbal and written communication skills.
  • Proven mathematical, analytical, and problem-solving skills.

  • Ability to work independently and on a team.

  • Ability and desire to learn various actuarial techniques and procedures.

  • Ability and desire to become familiar with company operations, actuarial methodologies and computer systems.

*Acuity does not sponsor applicants for U.S. work authorization.*

This job is classified as non-exempt.

For internships, Acuity offers a generous 401(k) contribution, vision insurance, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.ย 

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Acuity will include at least one in-person interview during the hiring process for all positions.

If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.