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Data Science Jobs in Sheboygan, WI (NOW HIRING)

Sartori

TAG Scientist

Plymouth, WI · On-site

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Bachelor's degree in Food Science, Dairy Science, Engineering, or related field preferred. * 2-5 ...

Kohler Co.

Kohler Intern - Digital

Kohler, WI · 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.

Johnsonville

Sr. Sensory Scientist

Sheboygan Falls, WI

$94K - $129K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Shape product direction early by applying deep expertise in Sensory Science, Food Science and ...

Johnsonville, LLC

Sr. Sensory Scientist

Sheboygan Falls, WI · On-site

$94K - $129K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Shape product direction early by applying deep expertise in Sensory Science, Food Science and ...

Johnsonville

Sr. Sensory Scientist

Sheboygan Falls, WI · On-site

$94K - $129K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Education • Bachelor's degree in Food Science, Food Chemistry, or a related field with 8-10 years ...

Sartori

Sensory Scientist III

Plymouth, WI · On-site

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 ...

Sartori

Sensory Scientist III

Plymouth, WI

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 ...

AESSE INVESTMENTS LTD

Senior R&D Scientist

Sheboygan, WI

$92K - $126K/yr

This role sits at the intersection of formulation science, manufacturing, and customer application ... Experimental Design & Data Interpretation * Design and execute laboratory testing and structured ...

SACO AEI Polymers

Senior R&D Scientist

Sheboygan, WI · On-site

$92K - $126K/yr

This role sits at the intersection of formulation science, manufacturing, and customer application ... Experimental Design & Data Interpretation * Design and execute laboratory testing and structured ...

Kohler Co.

Systems Manager, Strategic Sourcing

Kohler, WI · On-site

$103K - $160K/yr

Bachelor's degree in business, supply chain, engineering, information systems, analytics, data science, or related field required; advanced degree or relevant certification preferred. * 7+ years of ...

New

GlaxoSmithKline

SERM Scientific Director

Belgium, WI · On-site

We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our ... This individual will ensure scientifically sound review and interpretation of data and management ...

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All JobsData Science JobsData Science Jobs in Sheboygan, WI

Data Science information

See Sheboygan, WI salary details

$37.4K

$122.3K

$195.8K

How much do data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science in Sheboygan, WI is $122,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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 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 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.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Sheboygan, WI? The most popular types of Data Science jobs in Sheboygan, WI are:
What cities near Sheboygan, WI are hiring for Data Science jobs? Cities near Sheboygan, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Sheboygan, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $122,318 per year, or $58.8 per hour.
Curriculum Manager - Data Science and AI

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Posted 20 days ago

Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Apply