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Data Science Jobs in Cleveland, WI (NOW HIRING)

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting ...

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 ...

Beacon Technologies is seeking a Data Warehouse Developer for our client partner. This is a hybrid ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

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 ...

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 ...

Analyzes and interprets sensory and consumer data using appropriate statistical methods and ... Master's degree in Food Science or Sensory Science required; PhD preferred. Equivalent experience ...

Analyzes and interprets sensory and consumer data using appropriate statistical methods and ... Master's degree in Food Science or Sensory Science required; PhD preferred. Equivalent experience ...

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Showing results 1-20

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 26, 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.

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 Cleveland, WI are hiring for Data Science jobs?

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

Infographic showing various Data Science job openings in Cleveland, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,233 per year, or $59.2 per hour.

$117K - $140K/yr

Full-time

Posted 13 days ago


Faith Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

209th of 450 rated engineering


Job description

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And as "one of the Healthiest 100 Workplaces in America" is focused on the mind/body/soul of team members through our Culture of Care.

The Data Engineer II delivers a range of modern technology solutions while implementing best practices for key stakeholders across the company. Main responsibilities of the Data Engineer II include the development, maintenance, and optimization of our data pipelines and infrastructure. You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to data-driven decision-making within the organization.

This role contributes to and may lead project data-related efforts, provides support to business partners, project managers, Scrum Masters, and vendor resources involved in project execution. They will lead development efforts on small to medium projects. They will coordinate and attend meetings as needed. Complete and track action items and deliverables. Attention to detail, organization, communication, and self-initiative are key skills for this role.

MINIMUM REQUIREMENTS

Education: Bachelor's Degree or equivalent education and/or work experience preferred.

Experience: 3+ years direct work experience in a data engineering, analyst, software development or project management capacity.

  • An understanding of data warehousing and ETL processes.
  • Awareness of common programming languages such as Python, Powershell, Java, or Scala
  • Demonstrated experience with SQL and relational databases (e.g., MS-SQL)
  • Familiarity with NoSQL databases (e.g., MongoDB, CosmoDB)
  • Awareness of big data technologies and tools (e.g., Hadoop, Spark, Kafka) is a plus

Travel: 0-10%

Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday; However, work may be performed at any time on any day of the week to meet business needs.

KEY RESPONSIBILITIES

  • Develops integrations with specific SaaS applications such as; Workday, Salesforce, and ServiceNow.
  • Designs, develops, and maintains data pipelines to efficiently and securely transfer data from various sources to a data mart or lakehouse.
  • Transforms and cleanses raw data into usable formats for analytics, ensuring data accuracy and consistency.
  • Integrates data from multiple sources and platforms, both structured and unstructured, to provide a unified view of data.
  • Administers and optimizes databases to ensure data availability, performance, and security.
  • Implements data quality checks and monitoring to identify and rectify data inconsistencies or anomalies.
  • Works closely with developers, data scientists, analysts, and other stakeholders to understand data requirements and provide support for their data needs.
  • Diagnoses and resolves data-related issues promptly to minimize downtime.
  • Stays up-to-date with industry trends and emerging technologies to recommend and implement improvements in data engineering practices.
  • Maintains comprehensive documentation of data pipelines, configurations, and processes.
  • Coaches, mentors, and motivates project team members and contractors.
  • Ensures that database, integration, and DevSecOps best practices are adhered to and ensure lessons learned are followed.
  • Performs other related duties as required and assigned.

The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

How Does FTI Give YOU the Chance to Thrive?

If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future.

Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success.

FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package.

Benefits are the Game-Changer

We provide industry-leading benefits as an investment in the lives of team members and their families.You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today!

Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

Employment is contingent upon successfully passing a background and drug test


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