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Data Science Jobs in Cleveland, WI (NOW HIRING)

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Bachelor's degree in Food Science, Dairy Science, Engineering, or related field preferred. * 2-5 ...

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 ...

Sr. Sensory Scientist

Sheboygan Falls, WI

$94.60K - $129.20K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Shape product direction early by applying deep expertise in Sensory Science, Food Science and ...

Sr. Sensory Scientist

Sheboygan Falls, WI · On-site

$94.60K - $129.20K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Shape product direction early by applying deep expertise in Sensory Science, Food Science and ...

Sr. Sensory Scientist

Sheboygan Falls, WI · On-site

$94.60K - $129.20K/yr

You and your teammates will use the latest consumer trend data to bring new and exciting flavors to ... Education • Bachelor's degree in Food Science, Food Chemistry, or a related field with 8-10 years ...

This role sits at the intersection of formulation science, manufacturing, and customer application ... Experimental Design & Data Interpretation * Design and execute laboratory testing and structured ...

This role sits at the intersection of formulation science, manufacturing, and customer application ... Experimental Design & Data Interpretation * Design and execute laboratory testing and structured ...

Data Engineer

Menasha, WI · On-site +1

$117.10K - $140.70K/yr

Job Title: (Data Engineer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services ...

Senior Pricing Analyst

Kohler, WI · On-site

$76.05K - $96.05K/yr

Data visualization * Analysis & Problem Solving * Communication & Teamwork EDUCATION AND EXPERIENCE REQUIREMENTS Preferred college degree in the field of Finance, Economics, Engineering, Data Science ...

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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 Jun 1, 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 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 cities near Cleveland, WI are hiring for Data Science jobs? Cities near Cleveland, WI with the most Data Science job openings:
Data Engineering Manager

Full-time

Posted 7 days ago


Faith Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

48th of 351 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 Engineering Manager delivers a range of modern technology solutions while implementing best practices for key stakeholders across Faith Technologies Incorporated (FTI). This role is instrumental in shaping our data strategy, driving impactful data-driven decisions, and ensuring the successful execution of complex infrastructure and pipeline projects. You will lead and mentor a talented team of engineers while remaining a hands-on contributor, diving into data pipelines to provide technical guidance and insights as needed. Additionally, the Data Engineering Manager collaborates with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role leads and contributes to large-scale project data efforts, providing critical support to business partners, project managers, and vendor resources involved in project execution.

The ideal candidate would have proficiency in programming languages such as Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as well as experience working with cloud-based platforms like Azure, GCP, or Databricks and big data technologies including Hadoop, Spark, and Kafka. Additionally, familiarity with NoSQL databases such as MongoDB or CosmosDB is expected.

MINIMUM REQUIREMENTS
Education: Bachelor's Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus.
Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.

Travel: 0-10%.
Work Schedule: Typical work hours are between 7:00 a.m. and 5:00 p.m. Monday - Friday. Ability to work a flexible schedule is necessary.

KEY RESPONSIBILITIES

  • Management: Lead, mentor, and develop a high-performing team of Data Engineers.
  • Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.
  • Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.
  • Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.
  • Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with FTI's business objectives.
  • Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.
  • Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.
  • Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.
  • Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.
  • Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.
  • Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.
  • Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.
  • Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.
  • Performs other related duties as required and assigned.

Work Location:

This role follows a hybrid work model, offering a blend of onsite and remote flexibility. Team members are required to spend part of their week onsite at our Menasha, WI office to support teamwork, learning, and in-person connection, while enjoying the autonomy and focus that remote work provides. Specific onsite expectations may vary based on team needs, project priorities, and individual development.

We strive to provide a balanced, flexible environment that supports both productivity and engagement.

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.

#LI-Onsite

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.


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