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Data Mining Jobs in Michigan (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: * Merge large, complex data sets that meet business requirements * Analyze large ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining. * Collaborate with business ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining. * Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining. * Collaborate with business ...

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining. * Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

BAE Systems

Configuration Anst Sr

Sterling Heights, MI · On-site

$97K - $164K/yr

Data Mining: You will be mining and modeling data from Oracle, Windchill, and TIPQA. * Process Optimization: You will develop and present recommendations for workflow efficiency. * Stakeholder ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Mining * Business Intelligence * Front End (Software Engineering) * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required:

Rock Connections

Data Scientist

Detroit, MI

... and data mining tools and methods * 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) * 3 years of experience ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

... and data mining tools and methods * 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) * 3 years of experience ...

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See Michigan salary details

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How much do data mining jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data mining in Michigan is $61,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $74,100.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications or training.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science or data mining.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Michigan? The most popular types of Data Mining jobs in Michigan are:
What are popular job titles related to Data Mining jobs in Michigan? For Data Mining jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Michigan look for? The top searched job categories for Data Mining jobs in Michigan are:
What cities in Michigan are hiring for Data Mining jobs? Cities in Michigan with the most Data Mining job openings:
Data Mining jobs near you
Advanced Analytics Data Engineer Intermediate (1443216)

Advanced Analytics Data Engineer Intermediate (1443216)

Brightwing

Auburn Hills, MI • Hybrid

$60 - $65/hr

Other

Posted 10 days ago

Job description

Job Description Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions. Responsibilities include but not limited to: Build what the Advanced Analytics Data Architect has designed. Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.

Requirements: Requires a Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of related experience required. SQL expertise and data modeling experience.

Strong experience with Unix/Linux. ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader. Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.

Experience processing large amounts of structured and unstructured data. Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions. Able to work in teams and collaborate with others to clarify requirements.

Ability to tune Hadoop solutions to improve performance and end-user experience. Understanding of how algorithms work and have experience building high-performance algorithms. Enjoy being challenged and to have a desire to solve complex problems on a daily basis.

Excellent oral and written communication skills. Preferred Requirements: MapReduce experience is a plus. Additional Information / Must Have's: Experience handling / processing large data sets both structured and unstructured Deep knowledge in data mining, information retrieval, and a natural curiosity about the data Expertise in data modeling specifically with less standardized / structured data Three + years of experience Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) Does not require driving company vehicle Amount of travel: #IND1 Contract to hire opportunity.

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