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Data Science Jobs in Appleton, WI (NOW HIRING)

Network Health WI

Data Warehouse Engineer I

Menasha, WI · On-site +1

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

Michels

Staff Data & AI Governance Manager

Neenah, WI · On-site

Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related quantitative field, or equivalent practical experience. * 7+ years of experience in data governance ...

Schreiber Foods

Research Scientist

Green Bay, WI · On-site

Demonstrated ability to independently design experiments, analyze data, and interpret results to make technical recommendations.Principal:Bachelor's degree in Food Science, Dairy Science, Chemical ...

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All JobsData Science JobsData Science Jobs in Appleton, WI

Data Science information

See Appleton, WI salary details

$36.6K

$119.7K

$191.6K

How much do data science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science in Appleton, WI is $119,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,600.00 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.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Appleton, WI?

The most popular types of Data Science jobs in Appleton, WI are:

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Appleton, WI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,703 per year, or $57.5 per hour.

Data Warehouse Engineer I

Menasha, WI • On-site, Remote

Network Health WI
Insurance Services • 201 - 500 employees
Learn more about Network Health WIexternal

Full-time

Re-posted 29 days ago

Key responsibilities

  • Perform end to end delivery of data interfaces for the Enterprise Data Warehouse.

  • Develop, test, troubleshoot, and document solutions related to the Data Warehouse and associated applications.

  • Monitor and audit the Data Warehouse's performance and effectiveness, and recommend improvements.

Network Health rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance

Job description

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging, documentation, implementation, and maintenance of interfaces to support the Enterprise Data Warehouse and related applications. They will consult with other technical resources and key departmental users on solutions and best practices. They will monitor performance and effectiveness of the data warehouse and recommend changes as appropriate.
Location: Candidates must reside in the state of Wisconsin for consideration. This position is eligible to work at your home office (reliable internet is required), at our office in Brookfield or Menasha, or a combination of both in our hybrid workplace model.
Hours: 1.0 FTE, 40 hours per week, 8am-5pm Monday through Friday, may be required to work later hours when system changes are being implemented or problems arise
Check out our 2025 Community Report to learn a little more about the difference our employees make in the communities we live and work in. As an employee, you will have the opportunity to work hard and have fun while getting paid to volunteer in your local neighborhood. You too, can be part of the team and making a difference. Apply to this position to learn more about our team.
Job Responsibilities:
  • Perform end to end delivery of data interfaces in various stages of the Enterprise Data Warehouse in accordance with professional standards and industry best practice
  • Perform all phases of the development lifecycle including solution design, creation of acceptance criteria, implementation, technical documentation, development and execution of test cases, performance monitoring, troubleshooting, data analysis, and profiling
  • Consult with Developers, Engineers, DBAs, key departmental stakeholders, data governance and leadership on technical solutions and best practice
  • Monitor and audit the Enterprise Data Warehouse for effectiveness, throughput, and responsiveness. Recommend changes as appropriate. Troubleshoot customer complaints related to system performance issues
  • Maintain effective communication with customers from all departments for system development, implementation, and problem resolution
  • Required to take call to assist in resolution of technical problems
  • Other duties and responsibilities as assigned

Job Requirements:
  • Requires Associate Degree in Computer Science, Business, or related technical field; equivalent years of experience may be substituted
  • Minimum of 1 year experience in program interfacing required
  • Experience with T-SQL development, SSIS development, and database troubleshooting skills required

Network Health is an Equal Opportunity Employer
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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