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Data Science Jobs in Appleton, WI (NOW HIRING)

Reliability Engineer

Oshkosh, WI

$64.50K - $103.50K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field. * Experience working with data analysis, modeling, or statistical methods. * Strong ...

Reliability Engineer

Oshkosh, WI · On-site

$64.50K - $103.50K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field. * Experience working with data analysis, modeling, or statistical methods. * Strong ...

Bachelor's degree in Environmental Science, Geology, Hydrogeology, or related field * Experience with field sampling methods and related data management and reporting * Experience working with ...

Environmental Scientist/Geologist

Green Bay, WI

$72.90K - $95.80K/yr

Bachelor's degree in Environmental Science, Geology, Hydrogeology, or related field * Experience with field sampling methods and related data management and reporting * Experience working with ...

Use data to measure quality outcomes related to student persistence, retention, completion rate ... Coordinates all aspects of the Fire Science Technical Diploma program and other fire-related ...

... science to work in our environmental testing laboratory. In this role, you'll conduct hands-on analysis within our laboratories, helping ensure the integrity and quality of environmental data that ...

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Data Science information

See Appleton, WI salary details

$36.6K

$119.8K

$191.7K

How much do data science jobs pay per year?

As of May 29, 2026, the average yearly pay for data science in Appleton, WI is $119,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,700.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Data Science jobs in Appleton, WI? For Data Science jobs in Appleton, WI, the most frequently searched job titles are:
What cities near Appleton, WI are hiring for Data Science jobs? Cities near Appleton, WI with the most Data Science job openings:
Infographic showing various Data Science job openings in Appleton, WI as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 75% Physical, 11% Hybrid, and 14% Remote job distribution, with an average salary of $119,759 per year, or $57.6 per hour.
Sr. IT Manager - Data Architecture & Governance

Sr. IT Manager - Data Architecture & Governance

ITW Miller

Appleton, WI

Full-time

Life, Retirement, PTO

Posted 8 days ago


Job description

Job Description:

As the Sr. Manager – Data Architecture & Governance, you will lead the design, implementation, and optimization of ITW Welding companies’ enterprise data systems, ensuring they are robust, scalable, cost-effective, and aligned with governance standards. This role focuses on data architecture first, establishing the structure, integration, and accessibility of enterprise data, while implementing governance policies that ensure data is accurate, secure, properly retained, and optimized for both business value and operational efficiency.

This is a highly visible role requiring strategic leadership, operational excellence, and a vision for data-driven insights. You will oversee the architecture of master data, cloud platforms, and integrations, while enabling analytics and reporting teams to access and leverage high-quality data effectively, with attention to cost efficiency and retention practices.
 

Essential Functions

  • Lead the enterprise data architecture strategy, including Master Data Management (MDM), Azure Data Lake, Microsoft Fabric, and integrations to Dynamics 365.

  • Establish and enforce data governance policies and standards, including data retention, quality, and cost optimization practices, ensuring compliance with regulatory requirements, corporate goals, and industry best practices.

  • Ensure data quality, accessibility, and usability for reporting and analytics, collaborating with Data Analytics and BI teams to enable accurate, timely insights.

  • Define and monitor data retention schedules and lifecycle management processes to optimize storage costs and maintain regulatory compliance.

  • Assess and grow the talent and skillset of the Data team, establishing standards, roadmaps, and governance processes.

  • Define data integration, storage, and access strategies that support current and future business needs while optimizing total cost of ownership.

  • Oversee project schedules, resource allocation, and budgets for data architecture and governance initiatives.

  • Ensure compliance with SOX, data privacy regulations, and software licensing requirements.

  • Advocate for and enforce security best practices across data systems and related business applications.

  • Serve as a subject matter expert in modern data architecture, cloud infrastructure, Microsoft Fabric, and Microsoft reporting ecosystems.

  • Foster a culture of data ownership, accountability, cost-consciousness, and process simplification across the organization.
     

Qualifications

  • Bachelor’s degree in Business, IT, Computer Science, or a related field.

  • 5–7 years of experience in data architecture, enterprise data governance, MDM, or related areas.

  • 3–5 years of direct management experience, leading teams of 3 or more.

  • Proven experience designing and implementing enterprise data architecture strategies and governance frameworks.

  • Knowledge of Microsoft Power BI, Azure Data Lake, Microsoft Fabric, Dynamics 365, or other enterprise data platforms.

  • Experience implementing cloud infrastructure, managing integrations, and optimizing costs associated with data storage and management.

  • Familiarity with Agile/Scrum environments and project management best practices.

  • Strong problem-solving skills with a customer-focused mindset.

  • Excellent verbal and written communication skills, capable of influencing both technical and business audiences.

  • Understanding of manufacturing, sales and distribution, and accounting systems is a plus.
     

Why ITW Welding?

Here’s what we offer to help you build the future you want:

  • Generous Retirement Benefits – 401(k) match PLUS an additional retirement contribution to help you plan for the future.

  • Paid Time Off – 11 paid holidays, 5 sick days, and vacation time to take time for what matters.

  • Company-Paid Insurance – Life, AD&D, Short-Term & Long-Term Disability insurance to give you peace of mind.

  • Family-Friendly Benefits – 4 weeks of paid parental leave and adoption reimbursement to support your family journey.

  • Education Assistance – tuition reimbursement because we believe in investing in your personal and professional development.

At ITW Welding, we’re not just a place to work – we’re a community that empowers you to grow and make a real impact. Join us and build a career that makes a difference!

Company Description

Comprised of a market-leading portfolio of best-in-class brands, the businesses of ITW Welding work together to provide premium performance delivered through a breadth of solutions encompassing welding, cutting, consumables, and accessories.  ITW Welding North America represents Miller Electric Welding Equipment, Safety & Accessories, Hobart Filler Metals, and Bernard / Tregaskiss MIG Guns.

Miller Electric Mfg. LLC, is headquartered in Appleton, Wisconsin, and wholly owned by Illinois Tool Works (NYSE: ITW). The company maintains its industry leadership by setting the standard for reliability, quality and responsiveness. Our tagline, “The Power of Blue®,” is inspired by the blue color of Miller equipment.

The company began with an innovation that responded to customer needs, growing from a one-man operation in 1929, to the world’s largest manufacturer of arc welding products. Miller keeps the tradition alive by focusing on its top priority: people.

Additional Information

ITW Welding is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status, age, or any other characteristic protected by law.

ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 


As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. 


All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.