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Exploratory Data Analysis Jobs Near Me

Deloitte

AI and Data Science Engineer II

Columbus, OH

$110K - $132K/yr

Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns. * Applying clustering, sampling, feature transformation ...

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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How much do exploratory data analysis jobs pay per year?

As of Sep 14, 2026, the average yearly pay for exploratory data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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Exploratory Data Analysis jobs near you
A map of the United States highlighting the number of Exploratory Data Analysis job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Exploratory Data Analysis 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 3 days ago

New

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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