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Remote Web Scraping Jobs in Ohio (NOW HIRING)

... web scraping, and scalable data pipelines and experience with big data analysis tools and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... web scraping, and scalable data pipelines and experience with big data analysis tools and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Remote Web Scraping information

See Ohio salary details

$10

$56

$82

How much do remote web scraping jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote web scraping in Ohio is $56.10, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $63.51 per hour, depending on experience, location, and employer.

What is a Remote Web Scraping job?

A Remote Web Scraping job involves extracting data from websites using automated scripts or software while working from a remote location. Professionals in this field write and maintain web scrapers to collect structured information for businesses, research, or competitive analysis. They often use programming languages like Python and tools such as BeautifulSoup, Scrapy, or Selenium. Compliance with legal and ethical guidelines, including respecting robots.txt files and avoiding excessive server requests, is essential.

What are the key skills and qualifications needed to thrive in the Remote Web Scraping position, and why are they important?

To thrive in Remote Web Scraping, you need strong programming skills in languages such as Python, along with a solid understanding of HTML, CSS, and data extraction techniques. Familiarity with tools like Scrapy, Selenium, BeautifulSoup, and knowledge of database systems or cloud platforms is highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help set top candidates apart. These competencies ensure efficient, ethical collection of data while adapting to evolving website structures and collaborating with distributed teams.

What are the typical daily responsibilities for someone working in remote web scraping?

In a remote web scraping role, your typical day involves designing and developing automated scripts to extract data from various websites, cleaning and structuring the gathered information, and collaborating with team members to interpret and deliver results. You’ll often troubleshoot changes in website structure, monitor for errors, and ensure that your scraping activities adhere to the latest legal and ethical standards. Communication with project managers and data analysts is common, as your work directly supports broader business intelligence initiatives. Many roles also encourage learning and staying updated with new tools or methods, providing plenty of opportunity for skills development.

What are the most commonly searched types of Web Scraping jobs in Ohio? The most popular types of Web Scraping jobs in Ohio are:
What job categories do people searching Remote Web Scraping jobs in Ohio look for? The top searched job categories for Remote Web Scraping jobs in Ohio are:
What cities in Ohio are hiring for Remote Web Scraping jobs? Cities in Ohio with the most Remote Web Scraping job openings:

Senior Data Scientist - AI

Huntington

Columbus, OH • On-site, Remote

Other

Posted 2 days ago


Job description

Description Summary: The Senior Data Scientist- AI, contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes. Duties and Responsibilities: Performs advanced analytics methods to extract value from business data. Performs large-scale experimentation and build data-driven models to answer business questions.

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determines requirements that will be used to train and evolve deep learning models and algorithms. Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.

Influences product teams through presentation of data-based recommendations. Evangelizes best practices to analytics and products teams. Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.

Performs other duties as assigned. Basic Qualifications: Master's Degree in computer science, statistics, economics or related fields 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Strong experience with R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement

We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter.

Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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