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Data Science Jobs in Berlin, WI (NOW HIRING)

Society Insurance

Data Architect

Fond Du Lac, WI · 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 ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/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 ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/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 ...

Oshkosh Corporation

Reliability Engineer

Oshkosh, WI · 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 ...

SSM Health

Clinical Laboratory Scientist

Waupun, WI · On-site

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 ...

SSM Health

Clinical Laboratory Scientist

Waupun, WI · On-site

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 ...

SSM Health

Clinical Laboratory Scientist

Waupun, WI · On-site

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 ...

SSM Health

Clinical Laboratory Scientist

Waupun, WI · On-site

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 ...

Robert Half

Business Applications Analyst

Fond Du Lac, WI · On-site

$85K - $95K/yr

Support application integrations, APIs, and data exchange processes between enterprise systems ... Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or a ...

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All JobsData Science JobsData Science Jobs in Berlin, WI

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 8, 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.

Is a data scientist in high demand?

Yes, 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 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 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 Berlin, WI are hiring for Data Science jobs? Cities near Berlin, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Berlin, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $124,537 per year, or $59.9 per hour.

Senior Data Scientist (Family Experience)

Socket.dev

Waupun, WI • On-site

$110 - $170/hr

Other

Posted yesterday

New

Job description

  • Shape the Family & Experiences roadmap with strategic data science guidance across parent linking, consent, and parent engagement
  • Identify and size the highest-impact levers to improve parent links, engagement, and consent rates
  • Design and evaluate features across onboarding, linking, verification, consent, and Family Hub experiences
  • Apply experimentation and causal inference to understand how parent engagement influences child and family outcomes
  • Define success metrics and measurement frameworks for launches, funnels, and long-term product health
  • Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions
  • Translate friction points in the parent journey into actionable product recommendations
  • Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions- Ability to apply creative first-principles reasoning to solve ambiguous problems
  • 2+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • 5+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
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