2

Remote Data Mining Jobs in Ohio (NOW HIRING)

Health IT Data Scientist

Continental, OH · Remote

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Design data visualizations and executive dashboards. * Collaborate with business stakeholders to ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

This is a remote position requiring all work be performed in the continental United States. US ... Validate data quality and investigate anomalies. * Create visualizations supporting executive ...

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246721 Location: Dayton,OH,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Implement data validation and quality control procedures. * Optimize database and reporting ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Showing results 41-60

Remote Data Mining information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do remote data mining jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote data mining in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

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

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

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

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

What cities in Ohio are hiring for Remote Data Mining jobs?

Cities in Ohio with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in Ohio as of August 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Health IT Data Scientist

A-TEK Inc.

Continental, OH • Remote

$110K - $120K/yr

Full-time

Re-posted 26 days ago


Job description

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision-making across DHS Health IT initiatives. This is a remote position.  US Citizenship is required for consideration.  Ability to obtain and retain a public trust clearance is required for consideration.

Essential Responsibilities

  • Develop predictive models and machine learning algorithms.
  • Perform statistical analyses on structured and unstructured data.
  • Identify trends, patterns, and performance indicators.
  • Develop forecasting models supporting operational planning.
  • Design data visualizations and executive dashboards.
  • Collaborate with business stakeholders to identify analytical opportunities.
  • Validate analytical models and document methodologies.
  • Support AI and advanced analytics initiatives.
  • Present analytical findings to executive leadership.
  • Stay current with emerging data science technologies and best practices.

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
  • Minimum seven (7) years of data science experience.
  • Experience with Python, R, SQL, and machine learning techniques.
  • Strong statistical analysis and predictive modeling skills.
  • Experience with enterprise analytics platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science or related discipline.
  • Experience supporting Federal healthcare programs.
  • AI/ML platform experience.
  • Experience with Power BI and Tableau.

Compensation

Expected Salary Range: $110,000-$120,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.