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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 Engineer

Rochester, MN · On-site

$111K - $134K/yr

Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining • Perform complex ...

Data Engineer

Rochester, MN · On-site

$102K - $143K/yr

Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining Perform complex data ...

Data Engineer

Rochester, MN

$111K - $134K/yr

Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining Perform complex data ...

Data Engineer

Rochester, MN · On-site

$116K - $139K/yr

Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining Perform complex data ...

... 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 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 ...

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Showing results 1-20

Data Mining information

See Minnesota salary details

$50K

$68.6K

$87.2K

How much do data mining jobs pay per year?

As of Aug 11, 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 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 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 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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 6 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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