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Data Mining Jobs (NOW HIRING)

Codoxo

Data Mining Auditor- Payment Integrity

Data Mining Auditor Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

Hanchey

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

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How much do data mining jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

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 tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.
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DATA Mining jobs near you
Infographic showing various Data Mining job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Data Scientist with Security Clearance

Data Machines

Reston, VA • On-site

$90K - $150K/yr

Other

Re-posted 24 days ago

Job description

Location: On-site in Reston, VA Salary Range: $90,000-$150,000 Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement. Responsibilities: Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Minimum Qualifications: * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
* BS in software Engineering or at least 4 years of experience managing data science projects
* At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
* Ability to communicate analysis techniques, concepts, and products
* Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
* Must be able to pass a background check and a drug screen
Education: * Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
* Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
* Experience with public cloud (e.g. AWS, Azure) security
* Software Development Experience (any language)
* Ability to obtain a Secret clearance.

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