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Data Mining Jobs in Indiana (NOW HIRING)

campus4tech

Data Analyst

Indianapolis, IN · On-site

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

GMV

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

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Data Mining information

See Indiana salary details

$48.5K

$66.6K

$84.7K

How much do data mining jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data mining in Indiana is $66,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $80,900.00 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 Indiana?

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

What are popular job titles related to Data Mining jobs in Indiana?

For Data Mining jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Mining jobs in Indiana look for?

The top searched job categories for Data Mining jobs in Indiana are:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $66,609 per year, or $32 per hour.

Pre-Award: MXM- Data Scientist III

Crane, IN • On-site

Barbaricum
National Security • 201 - 500 employees
Learn more about Barbaricumexternal

Full-time

Posted 7 days ago

Job description

Barbaricum is seeking an Data Scientist III to directly support the anticipated Naval Surface Warfare Center (NSWC) Crane Division, Model Based Engineering Assessment Division (Code MXM). Code MXM's mission is mission engineering analysis and assessment of complex Naval, DoD, and joint kill chains - with a specialized focus on Electromagnetic Spectrum Operations (EMSO) enabled analysis. As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering - supporting statistical and analytical investigations, data mining, and advanced analytics against large datasets. You will build and maintain the data pipelines and systems that turn EM spectrum data into decision-quality insight.

KEY RESPONSIBILITIES

  • Support software integration or testing, including analyzing and implementing test plans and scripts.
  • Apply scripting languages such as Python and R, using packages commonly used in data science and advanced analytics.
  • Apply data science, data mining, statistics, or graph algorithms to support analytics objectives.
  • Apply SQL, NoSQL, API building, ETL pipelines, web application servers, or search index.
  • Use tools such as Python, Jupyter Notebook, Pandas, Numpy, and Requests.
  • Apply complex mathematical and statistical concepts and operations research methods and tools.
  • Employ spreadsheets for data manipulation and visualization.

REQUIRED QUALIFICATIONS

  • Active DoD SECRET clearance (minimum); U.S. citizenship required.
  • Master's degree.
  • 10 or more years of professional experience with data science.

DESIRED QUALIFICATIONS

  • Relevant industry certification such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security Knowledge (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD), CISSP, Cloudera Certified Professional (CCP), MCPD, MCSD, MCSE / Private Cloud, or Cloudera Certified Administrator for Apache Hadoop (CCAH).

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