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Data Science Jobs in Berlin, WI (NOW HIRING)

Data Architect

Fond Du Lac, WI ยท On-site

$100 - $130/hr

Bachelor's degree in computer science, engineering, or related field. * 8+ years of experience in data architecture, data engineering, or data platform design. * Strong experience designing and ...

Adobe Products Data Engineer

Fond Du Lac, WI ยท On-site

$87K - $128K/yr

... Science, Engineering, or a related technical field - Hands-on experience with: * Adobe Experience ... Data modeling, schema design, and dataset management * Profile-enabled datasets and identity ...

New

Adobe Products Data Engineer

Fond Du Lac, WI ยท On-site

$87K - $128K/yr

... Science, Engineering, or a related technical field - Hands-on experience with: * Adobe Experience ... Data modeling, schema design, and dataset management * Profile-enabled datasets and identity ...

New

Reliability Engineer

Oshkosh, WI ยท On-site

$64K - $103K/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 business, data science, technology, or a related field required * Proficient in MS Office Suite and Microsoft Power Platform (including SharePoint, PowerApps, Power Automate, and ...

Bachelor's degree in business, data science, technology, or a related field required * Proficient in MS Office Suite and Microsoft Power Platform (including SharePoint, PowerApps, Power Automate, and ...

The Clinical Lab Scientists at this site perform phlebotomy duties in addition to their regular job ... Perform chemical, microscopic, and bacteriologic tests to obtain data for use in diagnosis and ...

The Clinical Lab Scientists at this site perform phlebotomy duties in addition to their regular job ... Perform chemical, microscopic, and bacteriologic tests to obtain data for use in diagnosis and ...

Perform chemical, microscopic, and bacteriologic tests to obtain data for use in diagnosis and ... Or * Clinical Chemist Scientist - California Department of Public Health * Or * Clinical ...

Perform chemical, microscopic, and bacteriologic tests to obtain data for use in diagnosis and ... Or * Clinical Chemist Scientist - California Department of Public Health * Or * Clinical ...

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Showing results 1-20

Data Science information

See Berlin, WI salary details

$38K

$124.5K

$199.4K

How much do data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science in Berlin, WI is $124,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $138,000.00 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 cities near Berlin, WI are hiring for Data Science jobs?

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

Infographic showing various Data Science job openings in Berlin, WI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $124,537 per year, or $59.9 per hour.

Global Supply Chain Analytics & Insights Intern

Fond Du Lac, WI โ€ข On-site

Lund Boats
Retailย โ€ขย 11 - 50 employees

$18 - $27/hr

Full-time

Posted yesterday

New


Job description

Are you ready for what's next?

Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.

Mercury Marine - Fond du Lac, WI.- Global Supply Chain Analytics & Insights Intern

Location: Fond du Lac

Workplace Category: Hybrid

Travel Required: None

Direct Reports: None

Pay Range: $18.00 - $27.00

Relocation: Yes

Visa Sponsorship: Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.

Position Overview:

As a Global Supply Chain Analytics & Insights Intern, you will gain hands-on experience supporting the development and application of analytics, automation, machine learning, and AI-enabled solutions across Mercury's Global Supply Chain organization. This role will help identify opportunities for data-driven improvement, predictive insights, process optimization, and business value creation.
You will partner with the Global Supply Chain Analytics and Insights team to translate business needs into practical analytics solutions that are measurable, ethical, scalable, and operationally relevant. Candidates with coursework, projects, internships, or student organization experience involving supply chain, business analytics, data science, information systems, process improvement, or emerging technologies are encouraged to apply.
At Brunswick, we have passion for our work and a distinct ability to deliver.

Essential Functions:

  • Partner with Global Supply Chain business teams to identify opportunities for data-driven improvement, automation, and advanced analytics.
  • Assist in translating business questions into clearly defined use cases, hypotheses, data requirements, and analytical approaches.
  • Support the development of dashboards, reports, data models, and analytics tools that help improve supply chain visibility and decision making.
  • Contribute to data cleansing, validation, visualization, and analysis activities using Microsoft Excel, Power BI, Python, SQL, or similar tools.
  • Help evaluate analytics and AI outputs against business outcomes to ensure solutions are practical, usable, and aligned to operational needs.

Intern project opportunities:

  • Research analytics best practices, responsible AI concepts, automation opportunities, and emerging technologies that can support Global Supply Chain transformation.
  • Support an AI, machine learning, or predictive analytics proof of concept tied to a practical business use case.
  • Map and analyze current-state processes to identify inefficiencies, automation opportunities, and future-state improvements for technical and non-technical audiences.
  • Develop recommendations and present project findings to Global Supply Chain Analytics & Insights leadership and business stakeholders.

Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.

Required Qualifications:

  • Currently pursuing a degree in Supply Chain Management, Business Analytics, Data Analytics, Data Science, Information Systems, Computer Science, or a related field.
  • Strong analytical, problem-solving, organizational, and communication skills with the ability to explain findings clearly.
  • Proficiency in Microsoft Excel and interest in learning tools such as Power BI, SQL, Python, Microsoft Power Platform, or other analytics platforms.
  • Ability to work independently while collaborating effectively in a cross-functional, team-oriented environment.

Preferred Qualifications:

  • Coursework or project experience involving analytics, statistics, data visualization, AI, machine learning, or process improvement.
  • Experience with Power BI, SQL, Python, Microsoft Power Platform, or other data visualization/analytics tools.
  • Exposure to data cleansing, data mapping, workflow documentation, user testing, or business requirements gathering.
  • Interest in responsible AI, digital transformation, automation, supply chain optimization, and business partnership.

Working Conditions:

  • Learning Opportunities: Our Student Program is designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
  • Project Work: The work environment is supportive, collaborative, and conducive to learning. Student co-ops or interns typically work on specific projects or tasks that contribute to the organization's goals. This may range from supporting larger projects to handling smaller, individual assignments.
  • Hours: Co-ops and Interns are expected to work a full 40-hour work week
  • Feedback and Performance Reviews: As a co-op or intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement.

The pay range for this position is $18.00 - $27.00 per hour. The actual hourly rate offered will vary depending on multiple factors including year in school/credits earned, degree, job-related knowledge/skills, relevant experience, business needs, and geographic location.

At Brunswick, it is not typical for an individual to be hired at or near the top end of the salary range for their role. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.

Why Brunswick:

Whatever tomorrow brings, we'll be at the leading edge. As the clear leader in the marine industry, we're committed to our values and supporting our exceptional people. We offer and encourage growth opportunities within and across our many brands. In addition, we're proud of being recognized for making a splash with numerous awards!

Mercury Marine:

Headquartered in Fond du Lac, Wisconsin, Mercury Marine is the world's leading manufacturer of recreational marine propulsion engines. A division of Brunswick Corporation (NYSE: BC), Mercury provides engines, boats, services and parts for recreational, commercial and government marine applications. Mercury empowers boaters with products that are easy to use, extremely reliable and backed by the most dedicated customer support in the world. The company's industry-leading brand portfolio includes Mercury outboard engines, Mercury MerCruiser sterndrive and inboard packages, Mercury propellers, Mercury inflatable boats, Mercury SmartCraft electronics, Land 'N' Sea marine parts distribution and Mercury and Quicksilver parts and oils. More information is available at MercuryMarine.com.

Next is Now!


We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.

Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.comfor support.


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