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Data Mining Jobs in Michigan (NOW HIRING)

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science Experience Required:5+ experience in relevant fieldUndertake statistical modeling, predictive analytics ...

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 ...

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 ...

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 ...

Data Engineer

Dearborn, MI

$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:

... 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 ...

... mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model ... Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation

... mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model ... Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation

... 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 ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Mining * Business Intelligence * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * 3+ years of Alteryx experience ...

This includes data mining, data auditing, aggregation, validation, and reconciliation. Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels of ...

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Showing results 21-40

Data Mining information

See Michigan salary details

$44.5K

$61K

$77.6K

How much do data mining jobs pay per year?

As of Aug 14, 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.

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?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 cities in Michigan are hiring for Data Mining jobs?

Cities in Michigan with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $61,011 per year, or $29.3 per hour.

Data Science and Machine Learning Senior Associate

KYYBA Inc

Dearborn, MI • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
KYYBA Inc is a company seeking a Data Science and Machine Learning Senior Associate to leverage data science methodologies for predicting and extracting meaningful trends from raw data. The role involves designing and implementing data analysis and machine learning models to support data-driven decision-making.
Responsibilities:
• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
• Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
• Model Development: Design, develop, and deploy high-performance machine learning models (supervised, unsupervised, and reinforcement learning) to address business needs such as churn prediction, recommendation engines, or demand forecasting
• Experimental Design: Lead the design and analysis of large-scale experiments (A/B testing, multivariate testing) to validate hypotheses and measure the impact of product changes
• Feature Engineering: Architect and implement robust data pipelines and feature engineering processes to improve model accuracy and scalability
• Algorithm Optimization: Evaluate and refine existing algorithms to improve computational efficiency and predictive power
• Stakeholder Influence: Act as a strategic advisor to leadership, translating complex algorithmic outcomes into business-centric narratives that drive ROI
• Technical Leadership: Mentor junior data scientists and contribute to the team’s internal library of best practices, code standards, and research methodologies
• Collaboration with Engineering: Partner with ML Engineers and DevOps to integrate models into production systems, ensuring reliability and monitoring model drift.
Qualifications:
Required:
• 5+ years of experience in a Data Science role, with a proven track record of delivering models that impact business outcomes.
• Expert proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-learn, SciPy) or R.
• Deep understanding of a broad range of ML techniques, including Gradient Boosting (XGBoost/LightGBM), Random Forests, GLMs, and Clustering.
• Ability to manipulate and extract data from complex, multi-terabyte distributed databases.
• Strong foundation in linear algebra, calculus, and advanced statistical inference.
• Experience with version control (Git) and writing clean, modular, and maintainable code.
• Master's Degree
Company:
Kyyba, Inc. Founded in 1998, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

KYYBA logo

About KYYBA

Sourced by ZipRecruiter

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, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

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