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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 ...

Senior Data Scientist

Beachwood, 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 ...

... 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 ...

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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 28, 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.
Data Scientist

Full-time

Posted 27 days ago


Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking) Location: Columbus, OH (Remote flexibility) | Job Type: C2C About the Role Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment. Responsibilities - Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data. - Conduct large-scale experimentation and build data-driven models to answer strategic business questions. - Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence. - Collaborate with business segments to identify opportunities for optimization and customer value delivery. - Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership. - Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects. - Stay current on new technologies and tools to continuously improve analytics capabilities and solutions. - Perform additional analytics duties as assigned to support organizational goals. Required Skills and Experience - Proficiency in Python and SQL for data analysis, modeling, and pipeline development. - Strong analytical and statistical expertise, comfortable working with predictive models and large datasets. - Experience communicating technical findings to business partners and non-technical audiences. - Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science. - Hands-on experience with R, RStudio, SAS, and advanced statistical software. Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference. - Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines. - Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping. - Background in financial services or consumer-centric organizations. - Experience with data visualization tools (Tableau, Adobe Analytics/Target). Benefits - Work alongside a talented, collaborative, and centralized team of data science professionals. - Influence strategic decisions and drive growth at an enterprise level. - Exposure to cutting-edge analytics tools, technologies, and methodologies. - Fast-paced, dynamic environment with significant opportunities for learning and professional advancement. - Impactful projects with visibility to senior leadership and cross-functional partners. How to Apply If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US