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Data Cleaning Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. * Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis. * Develops and implements basic statistical models and machine learning algorithms to address defined business ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis. * Develops and implements basic statistical models and machine learning algorithms to address defined business ...

Domino's Corporate

Data Scientist

Ann Arbor, MI

Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis. * Develops and implements basic statistical models and machine learning algorithms to address defined business ...

HCLTech

Data Analyst

Farmington Hills, MI · On-site

Clean, transform, and integrate data from multiple sources using Power Query and SQL. * Analyze productivity, quality, customer satisfaction (CSAT), SLA compliance, and workforce performance metrics ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience applying "Clean Code" principles to data engineering. * Stream Processing: Experience with Apache Flink for low-latency stream processing. * Scripting: Proficiency in Python for automation ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$115K - $192K/yr

Proficiency in writing clean, maintainable code for data manipulation and automation. * GCP ... Expertise: Hands-on experience with BigQuery, dataflow, and Cloud Run . * Infrastructure Experience:

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience applying 'Clean Code' principles to data engineering. • Stream Processing: Experience with Apache Flink for low-latency stream processing. • Scripting: Proficiency in Python for ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption. * Collaborate with business ...

Munich RE

Data Scientist

Ann Arbor, MI · On-site

Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Omni Inclusive

Data Collection Driver

Troy, MI · On-site

S. driver license with clean record • Ability to drive long routes under varying conditions • ... data entry scripting is a plus • Prior exposure to field operations or automotive environments ...

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Data Cleaning information

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.

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 skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Michigan?

The most popular types of Data Cleaning jobs in Michigan are:

What are popular job titles related to Data Cleaning jobs in Michigan?

For Data Cleaning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Michigan look for?

The top searched job categories for Data Cleaning jobs in Michigan are:

What cities in Michigan are hiring for Data Cleaning jobs?

Cities in Michigan with the most Data Cleaning job openings:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution.

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Re-posted 17 days ago

Job description

Role: Data Scientists Modeling
Location: Dearborn, MI (Hybrid)
Duration: Long term
Rate: Market

 
What You'll Do: 
•    Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. 
•    Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. 
•    Translate complex business questions and challenges into well-defined data science problems and analytical tasks. 
•    Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). 
•    Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
•    Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
•    Iterate on models and approaches based on performance feedback and evolving business requirements. 
•    Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.
 
Skills Required:
•    Demonstrated ability to deal with and process data from real-world sources. 
•    Experience performing Exploratory Data Analysis (EDA). 
•    Experience with model development (statistical modeling, machine learning). 
•    Familiarity with the process of deploying models into production or working alongside teams that do. 
•    Proven ability to translate business questions into data-driven problems.
•    Ability to translate data analysis results and model insights into clear, business-oriented solutions. 
•    Proficiency in at least one major programming language used in data science (e.g., Python, R).
 
Skills Preferred:
•         Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
•         Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
 
Experience Required:
•         Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
 
Experience Preferred:
•         Experience in Auto Industry