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Data Mining Engineer Jobs Near Me

The Shelly Company

Mine Engineer II

Columbus, OH · On-site

... mining * Serve on subcommittees consisting of employees of other CRH companies and fulfill ... Ability to develop clear communicable plans using data driven information to be presented to upper ...

CRH

Mine Engineer II

Columbus, OH · On-site

... mining * Serve on subcommittees consisting of employees of other CRH companies and fulfill ... Ability to develop clear communicable plans using data driven information to be presented to upper ...

CRH

Mine Engineer II

Columbus, OH · On-site

... mining * Serve on subcommittees consisting of employees of other CRH companies and fulfill ... Ability to develop clear communicable plans using data driven information to be presented to upper ...

Bread Financial

Senior - Digital Analytics

Columbus, OH · On-site +1

$104K - $180K/yr

Computer Programming * Data Mining * Microsoft Office * Business Intelligence Tools * Cross Functional Projects Reports To : Manager and above Direct Reports : 0 Work Environment * Normal office ...

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How much do data mining engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data mining engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

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Data Mining Engineer jobs near you
A map of the United States highlighting the number of Data Mining Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Mining Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist

Columbus, OH • On-site

Shree Narayani Networking Solutions Pvt Ltd
See more jobs at Shree Narayani Networking Solutions Pvt Ltdexternal

Other

Posted 4 days ago

Job description

Job Title: Data Scientist Location: Columbus, OH
Duration: Fulltime Summary

Seeking a Data Scientist to analyze complex datasets, develop statistical and machine learning models, and provide data-driven insights to support organizational decision-making.

Responsibilities
  • Analyze large and complex datasets to identify patterns, trends, relationships, and actionable insights.
  • Develop and implement statistical, predictive, and machine learning models.
  • Perform data cleaning, transformation, feature engineering, and exploratory data analysis.
  • Develop data visualizations, dashboards, and reports.
  • Evaluate model performance and improve analytical solutions.
  • Collaborate with business stakeholders, data engineers, analysts, and technology teams.
  • Translate business problems into data science and analytical solutions.
  • Document methodologies, models, assumptions, and results.
Required Skills
  • Strong Python and/or R skills.
  • Experience with SQL and relational databases.
  • Knowledge of machine learning, statistics, predictive modeling, and data mining.
  • Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar technologies.
  • Experience with Power BI, Tableau, or similar visualization tools.
  • Strong analytical, statistical, and problem-solving skills.
  • Experience working with large datasets and cloud/data platforms is preferred.
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