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Data Science Jobs in Cleveland, WI (NOW HIRING)

Tcenergy

Environmental Specialist

Eden, WI · On-site +1

Manage and prepare environmental data and reports for submittal to local, state, and federal ... An accredited Bachelors or Masters of Science or Arts degree in an environmental science, planning ...

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 ...

Faith Technologies

BI Developer - ERP

Menasha, WI · On-site

Bachelor's Degree in Data Analytics, Computer Science, IT, or equivalent work experience preferred. Experience: 2+ years of direct work experience in BI development, data analysis, or a similar ...

Integrated Resources INC

QC Analyst

Sheboygan Falls, WI · On-site

$24.75 - $33.25/hr

Clean-up quality master data. * Requires knowledge and experience in QA/QM and other industrial ... In compliance with change control procedures, improve processes through application of scientific ...

Network Health

Database Administrator

Menasha, WI · On-site +1

Plan and coordinate data migrations between systems * Provide long-term perspective on the ... Bachelor of Science (BS) degree in an Information Technology (IT) discipline or related field * 5 ...

Network Health, Inc

Database Administrator

Menasha, WI · On-site +1

Plan and coordinate data migrations between systems * Provide long-term perspective on the ... Bachelor of Science (BS) degree in an Information Technology (IT) discipline or related field * 5 ...

Network Health WI

Database Administrator

Menasha, WI · On-site +1

Plan and coordinate data migrations between systems * Provide long-term perspective on the ... Bachelor of Science (BS) degree in an Information Technology (IT) discipline or related field * 5 ...

Network Health

Epic BI Developer

Menasha, WI · Hybrid

... data. This position requires collaboration with business stakeholders and SMEs to understand the ... Bachelor's degree in computer science, information systems or related discipline. * Relevant ...

Network Health, Inc

Epic BI Developer

Menasha, WI · Hybrid

... data. This position requires collaboration with business stakeholders and SMEs to understand the ... Bachelor's degree in computer science, information systems or related discipline. * Relevant ...

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All JobsData Science JobsData Science Jobs in Cleveland, WI

Data Science information

See Cleveland, WI salary details

$37.7K

$123.2K

$197.3K

How much do data science jobs pay per year?

As of Aug 8, 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 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $123,233 per year, or $59.2 per hour.

SQL/ETL Developer I - Encounter

Network Health, Inc

Menasha, WI • On-site, Remote

$52.25 - $68.25/hr

Full-time

Re-posted 23 days ago

Job description

The ETL Developer I is part of a team dedicated to supporting Network Health’s core claims processing system, related data integrations, vendor extracts and reporting. This individual will perform detailed interface design and development, program, analysis, coding, testing, debugging, documentation, implementation of interfaces and reports, development, and maintenance of data feeds for Network Health.

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

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:

  • Develop, test, and maintain data interfaces between business data sources in accordance with departmental and professional standards
  • Perform analysis, design, coding, and maintenance of data imports and extracts
  • Develop, test, and implement data change scripts to support the claims processing system
  • Consult with Business Quality Analysts, Developers, Engineers, DBAs, key departmental stakeholders, and leadership on technical solutions and best practices
  • Monitor and audit jobs for performance. Recommend changes as appropriate. Advise management on how to improve application environment and system performance
  • Maintain effective communication with customers from all departments for system development, implementation and problem resolution
  • Develop and maintain reports and data extracts supporting both internal and external customer’s needs
  • Required to take call to assist in resolution of technical problems. May be required to work later hours when system changes are being implemented or problems arise
  • Other duties and responsibilities as assigned

Job Requirements:

  • Requires BS in Computer Science, Business, or related technical field or equivalent years of experience may be substituted
  • Minimum of 2 years’ experience in program interfacing required, preferably in a healthcare or health insurance environment
  • Experience with medical claims and EDI
  • High degree of experience with relational database design, and SQL
  • Knowledge of SSIS, SSRS, XML/JSON, and virtual database architecture
  • Collaborate on teams leveraging lean, scrum, or agile type of development methodologies

Network Health is an Equal Opportunity Employer

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