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Data Cleaning Jobs in Wisconsin (NOW HIRING)

Experience in SQL data query, data cleaning * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials ...

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Experience in SQL data query, data cleaning * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials ...

Experience in SQL data query, data cleaning * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or used ML for solving materials ...

Data Analysis Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Analysis Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data. * Translating business requirements; informing ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics ...

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Data Cleaning information

See Wisconsin salary details

$8

$37

$83

How much do data cleaning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data cleaning in Wisconsin is $37.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.36 and $60.58 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are the most commonly searched types of Data Cleaning jobs in Wisconsin? The most popular types of Data Cleaning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Cleaning jobs? Cities in Wisconsin with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Wisconsin as of August 2026, with employment types broken down into 56% Full Time, 19% Part Time, 6% Temporary, and 19% Contract. Highlights an 100% In-person job distribution, with an average salary of $78,808 per year, or $37.9 per hour.

Data Scientist

ATI

Cudahy, WI • On-site

Full-time

Re-posted 7 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.
As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.
A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.
Additional Responsibilities
  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications
  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)
  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.