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Data Cleaning Jobs in Michigan (NOW HIRING)

Solid knowledge of machine learning, data cleaning, cloud computing, etc. * Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc. * Experience with ML libraries, i.e ...

Solid knowledge of machine learning, data cleaning, cloud computing, etc. * Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc. * Experience with ML libraries, i.e ...

$104K - $125K/yr

You will collaborate with manufacturing teams, analysts, data scientists, and technology partners to deliver clean and reliable data for reporting, analytics, operational decision-making, and AI/ML ...

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

... data clean rooms, marketplace, and Snowpark. * Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting. * Demonstrated CI/CD ...

We are committed to delivering reliable, clean, and affordable energy to our customers 24/7. This ... Communicate data science outputs effectively and support the development of models and solutions ...

Cleaning Team Member Part-Time

Jackson, MI · On-site

$16.50 - $17.50/hr

... safety data sheets to maintain a safe environment for students, employees, and visitors. • ... cleaning tasks in a manner that supports clean, orderly, and student-ready facilities. The ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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.

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 Michigan? The most popular types of Data Cleaning jobs in Michigan 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:
Infographic showing various Data Cleaning job openings in Michigan as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Re-posted 25 days ago


Job description

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery technologies and energy storage systems. Our solutions serve a wide range of applications, from traditional automotive batteries to utility-scale and commercial amp; industrial (C amp;I) energy storage. Committed to safety, longevity, and energy efficiency, A123 delivers high-performance battery technology solutions with a strong commitment to grow and serve our customers, industry requirements with the goal to make the Air Cleaner.
Position Overview
The Advanced Simulation Technology amp; AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms and optimize the cell design, and developing data-driven AI machine learning models to optimize battery cell manufacturing process. Other responsibilities include conducting cell-, module-, and pack-level life simulation for Li-ion battery systems used in electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, energy storage systems, drone and electric vertical take-off and landing.
Primary Responsibilities
  • Develop physics-based models to identify aging mechanisms and optimize cell design.
  • Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs.
  • Support NBO and regular life simulation activities through global collaboration.
  • Work in a global team and collaborate with cross-functional team colleagues.
  • Communicate findings to external customers in a positive and constructive manner, and establish/maintain technical communications for any open issues.
Specific Skills/Experience
  • Solid knowledge of electrochemical modeling and battery aging.
  • Solid Knowledge of battery chemistry and battery manufacturing.
  • Excellent experience in modeling of electrochemical systems.
  • Solid knowledge of machine learning, data cleaning, cloud computing, etc.
  • Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc.
  • Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc.
  • Experience in Li-ion battery modeling and machine learning in industry is a plus.
  • Strongly self-motivated and willingness to learn new knowledge.
  • 0-2 years industry working experience.
Education
  • Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.