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Data Science Jobs in Cleveland, WI (NOW HIRING)

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 ...

Network Health

Data Warehouse Engineer I

Menasha, WI · On-site

Description The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

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All JobsData Science JobsData Science Jobs in Cleveland, WI

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$37.7K

$123.2K

$197.3K

How much do data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science in Cleveland, WI is $123,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $136,500.00 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 cities near Cleveland, WI are hiring for Data Science jobs? Cities near Cleveland, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Cleveland, 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 $123,233 per year, or $59.2 per hour.
Sensory Scientist III

Sensory Scientist III

Sartori

Plymouth, WI • On-site

Full-time

Posted 27 days ago

Sartori Cheese rating

5.6

Company rating: 5.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

355th of 432 rated food and drinks producers

Job description

SUMMARY
The Sensory Scientist III leads sensory research focused on ensuring the sensory quality, consistency, and shelf-life performance of all Sartori products. This role designs and executes sensory shelf-life studies, defect identification and root-cause investigations, and competitive quality benchmarking to support product integrity and continuous improvement. The Sensory Scientist partners closely with R&D, Quality, Operations, and Supply Chain, Marketing and Sales to translate sensory data into actionable insights related to process control, ingredient variability, packaging, and storage conditions. In addition, this role establishes and maintains best-in-class sensory standards, trains and mentors panelists, and advances sensory tools and methodologies that proactively identify risks and protect brand quality over product life.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following with other duties assigned as needed.
  • Designs and leads statistically robust sensory studies, including sensory shelf-life, defect characterization, and quality benchmarking
  • Analyzes and interprets sensory and consumer data using appropriate statistical methods and translate findings into clear, actionable insights
  • Identifies, characterizes, and supports root-cause analysis of sensory defects related to processing, ingredients, packaging, and storage
  • Conducts internal and competitive quality benchmarking to establish and maintain sensory standards
  • Partners with R&D, Quality, Operations, and Supply Chain, Marketing and Sales to translate sensory data into actionable recommendations
  • Trains, manages, and mentors trained sensory panels and junior sensory scientists
  • Develops and maintains sensory protocols, lexicons, and best practices for dairy products
  • Provides technical support through researching and presenting findings regarding customer requests/challenges related to sensory.
  • Complies with company safety, HACCP, and GMP policies during plant trials and other plant activities.
  • Delivers against set R&D and Sartori company metrics and initiatives.
  • Maintains confidentiality as it relates to internal and customers' proprietary formulas, ingredients, and projects.

DIRECT REPORTSThis role will lead panelists and interns initially but will have no full-time direct reports.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION AND EXPERIENCE
  • Master's degree in Food Science or Sensory Science required; PhD preferred. Equivalent experience may be considered in lieu of advanced degrees.
  • 5+ years of experience in sensory and consumer research, preferably in dairy or food manufacturing required.
  • Demonstrated experience designing, analyzing, and interpreting statistically rigorous sensory studies required.
  • Proficiency with sensory and statistical analysis software (e.g., Compusense, XLSTAT, JMP, R, or equivalent) required.
  • Experience working with trained sensory panels and quality-focused sensory programs required.

OTHER KNOWLEDGE, SKILLS, AND ABILITIES
  • Alignment with Company Values: Demonstrates behaviors and values that reflect the company's culture. Sartori's core values are family, commitment, authenticity, ingenuity, integrity, and humility.
  • Organizational and Time Management Skills - Ability to manage and navigate priorities while meeting deadlines, anticipating needs, and proactively resolving issues
  • Collaborative - partners with team members to realize better results and make a positive impact; engages stakeholders to gather diverse perspectives and foster shared understanding.
  • Accuracy - Ensures precision and attention to detail in all tasks, maintaining high standards for data integrity, documentation, and work output. Consistently produces error-free work and carefully reviews information to prevent mistakes.
  • Communicates effectively - Demonstrates excellent verbal and written communication skills with the ability to articulate thoughts and express ideas to any audience and actively listen to understand.
  • Learning agility & intellectual curiosity - Ability to quickly adapt to new challenges, acquire new skills, and apply knowledge in evolving environments. Proactively seeks opportunities to expand expertise, explore innovative solutions, and stay informed of industry trends and best practices.
  • Decision quality - Makes sound and timely decisions, using a mixture of analysis of information, experience, and judgement, weighs risks and benefits.
  • Resilience - remains composed and effective under pressure, maintaining focus and productivity in evolving environments; recovers quickly from setbacks and persists in the face of challenges.

ADDITIONAL INFORMATION
WORK LOCATION
This is an onsite position located at our Pleasant View corporate office in Plymouth, WI.
TRAVEL REQUIREMENTS
Occasional travel may be required to meet the needs of the business (estimated 10%). A valid driver's license is required.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WORK SETTING / ENVIRONMENT
The work environment characteristics described here are representative of those a Team Member encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above statements are intended to describe the general nature and level of work being performed by Team Members assigned to this work. This is not an exhaustive list of all duties and responsibilities. Sartori Company reserves the right to amend and change responsibilities to meet organizational and business needs as necessary.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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