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Data Scraping Jobs in Ohio (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines * Understanding of statistical methods and skills such as Bayesian Networks Inference ...

... scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: * Up-to-date knowledge of machine learning, AI, and data analytics tools ...

... scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: * Up-to-date knowledge of machine learning, AI, and data analytics tools ...

... scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: Up-to-date knowledge of machine learning, AI, and data analytics tools and ...

Senior Data Scientist

Columbus, OH · On-site

$70K - $140K/yr

... scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: * Up-to-date knowledge of machine learning, AI, and data analytics tools ...

... scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: * Up-to-date knowledge of machine learning, AI, and data analytics tools ...

Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines * Understanding of statistical methods and skills such as Bayesian Networks Inference ...

... data collection on power plant equipment, including chillers, motors, breakers, disconnects, transformers, and relays. * 1. Performing cleaning, scraping, brushing, preserving and conditioning of ...

... data collection on power plant equipment, including chillers, motors, breakers, disconnects, transformers, and relays. * 1. Performing cleaning, scraping, brushing, preserving and conditioning of ...

... data collection on power plant equipment, including chillers, motors, breakers, disconnects, transformers, and relays. * 1.Performing cleaning, scraping, brushing, preserving and conditioning of ...

Python Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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Data Scraping information

See Ohio salary details

$10

$27

$61

How much do data scraping jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data scraping in Ohio is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $33.40 per hour, depending on experience, location, and employer.

Will AI replace web scraping?

AI can automate and enhance web scraping tasks by improving data extraction accuracy and handling complex websites. However, human oversight remains important for managing ethical considerations, adapting to website changes, and ensuring data quality, so AI is more likely to augment than fully replace web scraping jobs.

How much do you get paid for data scraping?

Data scraping jobs typically pay between $15 and $50 per hour, depending on experience, complexity of the project, and the tools used. Freelance data scrapers may charge per project or per data volume, with rates varying accordingly.

What are the typical challenges faced in a Data Scraping role, and how are they addressed?

Data Scraping professionals often encounter challenges such as dealing with anti-scraping measures, frequent changes to website structures, and managing large volumes of unstructured data. These obstacles require adaptability and creative problem-solving, as well as continuous learning to update scripts and leverage the latest tools. Team collaboration is common—data scrapers may work closely with data analysts, engineers, or business stakeholders to ensure the data collected meets the project's needs. Proactively communicating and staying current with industry best practices helps data scraping specialists efficiently navigate these challenges and deliver high-quality results.

What is a Data Scraping job?

A Data Scraping job involves extracting structured data from websites or online sources using automated tools or scripts. This data is then used for various purposes, such as market research, competitive analysis, or business intelligence. Professionals in this field typically use programming languages like Python or tools like Scrapy and BeautifulSoup to collect and organize data efficiently. However, ethical considerations and legal guidelines must be followed to ensure compliance with website policies and data protection laws.

What is a data scraping job?

A data scraping job involves writing scripts or using tools to extract information from websites or online sources. It requires knowledge of programming languages like Python or JavaScript, and understanding of web structures and APIs to collect data efficiently and accurately.

Is data scraping profitable?

Data scraping as a job can be profitable depending on the industry, complexity of the data, and the skill level required. Skilled data scrapers who use tools like Python, BeautifulSoup, or Scrapy and understand legal considerations can command higher rates or salaries. Profitability also depends on the demand for data and the ability to deliver accurate, timely results efficiently.

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

To excel in Data Scraping, proficiency in programming languages such as Python or JavaScript, familiarity with web protocols, and understanding of data extraction methodologies are essential, often supported by a degree in computer science or a related field. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium, and knowledge of APIs are commonly required; relevant certifications in data analysis or automation can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help professionals successfully tackle complex data challenges and collaborate with teams. These competencies are vital to reliably gather, process, and deliver valuable data while adhering to legal and ethical standards.

What are the most commonly searched types of Data Scraping jobs in Ohio? The most popular types of Data Scraping jobs in Ohio are:
What are popular job titles related to Data Scraping jobs in Ohio? For Data Scraping jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Data Scraping job openings in Ohio as of June 2026, with employment types broken down into 2% Internship, 22% Full Time, 3% Part Time, 9% Temporary, and 64% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $56,717 per year, or $27.3 per hour.
Senior Data Scientist - AI

Senior Data Scientist - AI

Huntington National Bank

Columbus, OH • On-site

Full-time

Posted 15 days ago


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

47th of 142 rated banks


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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