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Data Mining Jobs in Minnesota (NOW HIRING)

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

... Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from disparate data sources for data analytics 3 years of ...

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

... data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other ...

... data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other ...

... data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other ...

... data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other ...

Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions.

Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions.

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Data Mining information

See Minnesota salary details

$50K

$68.6K

$87.2K

How much do data mining jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data mining in Minnesota is $68,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,200.00 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.

What are the most commonly searched types of Data Mining jobs in Minnesota?

The most popular types of Data Mining jobs in Minnesota are:

What cities in Minnesota are hiring for Data Mining jobs?

Cities in Minnesota with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Minnesota as of August 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $68,558 per year, or $33 per hour.

Data Scientist

Jobtailor

Virginia, MN • On-site

$90 - $130/hr

Other

Posted 20 days ago


Job description

Responsibilities
  • Help turn complex data sets into useful information to solve global challenges
  • Work closely with clients to understand their questions and needs
  • Dig into data-rich environments to find pieces of their information puzzle
  • Develop algorithms and systems
  • Use the right combination of tools and frameworks to turn disparate data points into objective answers
Requirements
  • Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
  • Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • TS/SCI clearance
  • Bachelor's degree
Hard Skills
  • data exploration
  • data cleaning
  • data analysis
  • data visualization
  • data science
  • data mining
  • Python
  • R
  • SQL
  • statistical analysis
Soft Skills
  • client collaboration
  • problem-solving
  • analytical thinking
Certifications & Qualifications
  • TS/SCI clearance
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