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Senior Remote Web Scraping Jobs (NOW HIRING)

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

... 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.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

... 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.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

... 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.

MedReview

Data Scientist

Austin, TX · On-site +1

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Experience working with global and remote teams

Futran Tech Solutions Pvt. Ltd.

AWS Python Developer

$51.50 - $71/hr

AWS Python Developer Remote Responsible for driving the design and implementation of specific data ... Perform tasks such as writing scripts, web scraping, calling-writing APIs, write SQL queries, etc.

Jobgether

... Senior Web Designer based in Netherlands. This role offers the opportunity to shape high-impact digital experiences for a global client base across diverse industries. You will work in a fully remote ...

Futran Tech Solutions Pvt. Ltd.

AWS Python Developer

$51.50 - $71/hr

AWS Python Developer Remote Responsible for driving the design and implementation of specific data ... Perform tasks such as writing scripts, web scraping, calling-writing APIs, write SQL queries, etc.

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Senior Remote Web Scraping information

See salary details

$25K

$80.3K

$163.5K

How much do senior remote web scraping jobs pay per year?

As of Jul 2, 2026, the average yearly pay for senior remote web scraping in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Remote Web Scraping Specialist, and why are they important?

To thrive as a Senior Remote Web Scraping Specialist, you need deep expertise in Python or similar languages, advanced knowledge of data extraction techniques, and experience with web protocols and APIs, often backed by a computer science degree or equivalent experience. Familiarity with tools like Scrapy, BeautifulSoup, Selenium, and cloud-based data pipelines, as well as version control systems such as Git, is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills in this role. These capabilities ensure efficient, ethical, and scalable data extraction while collaborating smoothly with distributed teams.

What does a Senior Remote Web Scraping specialist do?

A Senior Remote Web Scraping specialist is responsible for designing, developing, and maintaining automated systems that extract data from websites and online sources. They use programming languages like Python, tools like Selenium or Scrapy, and ensure that the data collected is accurate, clean, and usable. Working remotely, they often collaborate with data analysts, engineers, and business teams to support data-driven projects, all while adhering to legal and ethical guidelines regarding data collection.

What are some typical challenges faced by Senior Remote Web Scraping professionals, and how can they be addressed?

Senior Remote Web Scraping professionals often encounter challenges such as dealing with anti-bot measures, rapidly changing website structures, and ensuring data accuracy and legality. Overcoming these obstacles requires strong problem-solving skills, proficiency with tools like Selenium or Scrapy, and a solid understanding of web protocols. Collaborating with cross-functional teams, such as data engineering and legal, can help ensure compliance and data quality. Staying updated on industry best practices and continuously refining scraping strategies are essential for success in this role.

What is the difference between Senior Remote Web Scraping vs Remote Data Analyst?

AspectSenior Remote Web ScrapingRemote Data Analyst
CredentialsExperience with web scraping tools, programming languages (Python, JavaScript), and data extraction techniquesDegree in Data Science, Statistics, or related field; proficiency in data analysis tools (Excel, SQL, R)
Work EnvironmentPrimarily focused on developing and maintaining web scraping scripts, working independently or in small teamsAnalyzing data sets, creating reports, and providing insights, often collaborating with cross-functional teams
Industry UsageCommon in tech, e-commerce, market research, and data collection companiesUsed across finance, marketing, healthcare, and consulting firms

While both roles involve working with data, Senior Remote Web Scraping specializes in extracting data from websites using programming skills, whereas Remote Data Analysts focus on interpreting and visualizing data to support decision-making. The roles often overlap in data handling but differ in technical focus and daily tasks.

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What states have the most Senior Remote Web Scraping jobs? States with the most job openings for Senior Remote Web Scraping jobs include:
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Senior Remote Web Scraping jobs near you

Senior Data Scientist - AI

Huntington

Columbus, OH • On-site, Remote

Other

Posted 22 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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