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Data Cleaner Jobs Near Me

Data Science Tutor

Columbus, OH ยท Remote

$40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Product testing in field applications A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, and cross-validation. The applicant should ...

JANITORIAL CLEANER

Heath, OH ยท On-site

$19/hr

We are looking for a reliable and experienced Janitorial Cleaner to perform a variety of cleaning ... data. This position offers the opportunity to earn a one-time $500 retention bonus after 120 days ...

Janitorial Cleaner

Groveport, OH ยท On-site

$15 - $18/hr

We are looking for a reliable and experienced Janitorial Cleaner to perform a variety of cleaning ... data Benefit Information: ABM offers a comprehensive benefits package. For information about ABM ...

JANITORIAL CLEANER

Heath, OH ยท On-site

$19/hr

... data. This position offers the opportunity to earn a one-time $500 retention bonus after 120 days ... Responsibilities โ€ข Perform routine cleaning tasks including sweeping, mopping, vacuuming, dusting ...

Janitorial Cleaner

Groveport, OH ยท On-site

$15 - $18/hr

... data Benefit Information: ABM offers a comprehensive benefits package. For information about ABM ... Cleans building floors by sweeping, mopping, scrubbing, or vacuuming them. Follows procedures for ...

Leverage mappings to create an ETL process to move the data from the source system to the target system. o This includes data cleaning and value mapping Basic Performance turning of queries and ...

... cleaning and value mapping โ€ข Basic Performance turning of queries and tables. โ€ข Documentation of source schemas to be used by other Data Analysts. โ€ข Quality assurance validation of the ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data cleaner in the United States is $24.01, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $25.00 per hour, depending on experience, location, and employer.

What cities are hiring for Data Cleaner jobs?

Cities with the most Data Cleaner job openings:

What states have the most Data Cleaner jobs?

States with the most job openings for Data Cleaner jobs include:

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

Data Scientist

Columbus, OH โ€ข On-site

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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