... 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.
... 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.
Director, Corporate Strategy
Marysville, OH · On-site +1
$175K - $206K/yr
Proficiency with Python or R for data analysis, market scraping, or API utilization (e.g ... For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New ...
Director, Corporate Strategy
Marysville, OH · On-site +1
$175K - $206K/yr
Proficiency with Python or R for data analysis, market scraping, or API utilization (e.g ... For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New ...
Data Scraping Remote information
What are the key skills and qualifications needed to thrive as a Data Scraping Remote specialist, and why are they important?
To thrive as a Data Scraping Remote specialist, you need strong programming skills in languages like Python, proficiency in web protocols, and experience with data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and knowledge of APIs is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting requirements and ensuring data integrity. These skills and qualities are vital for efficiently gathering accurate data while navigating the technical and ethical challenges of remote web scraping projects.
What are some common challenges faced by remote data scraping professionals, and how can they be effectively addressed?
Remote data scraping professionals often encounter challenges such as dealing with anti-scraping mechanisms (like CAPTCHAs or frequent site structure changes), ensuring data accuracy, and managing large-scale data extraction efficiently. Effective solutions include using rotating proxies, headless browsers, and robust error-handling strategies. Additionally, maintaining open communication with your remote team and staying updated on legal and ethical guidelines for data collection are crucial for long-term success in this role.
What is the difference between Data Scraping Remote vs Data Analyst?
| Aspect | Data Scraping Remote | Data Analyst |
|---|---|---|
| Required Skills | Web scraping, programming (Python, SQL), data extraction | Data interpretation, statistical analysis, visualization |
| Work Environment | Remote, independent, project-based | Remote or on-site, team collaboration |
| Industry Usage | Data collection, research, lead generation | Business insights, reporting, decision-making |
| Certifications | Basic programming, data handling | Statistics, data analysis tools (Excel, Tableau) |
Data Scraping Remote focuses on extracting data from websites using programming skills, often working independently. Data Analysts interpret and analyze data to provide insights, typically requiring statistical knowledge. While both roles may be remote, their core skills and industry applications differ significantly, making them distinct career paths.
What is a Data Scraping Remote job?
A Data Scraping Remote job involves extracting large amounts of data from websites or online sources using automated tools or scripts, all while working from a remote location. Professionals in this role often use programming languages like Python and tools such as BeautifulSoup, Scrapy, or Selenium to gather and structure data for analysis or business use. The work may include identifying relevant data sources, handling anti-scraping measures, and ensuring compliance with legal guidelines. Data scraping specialists typically collaborate with data analysts or engineers to provide clean, organized datasets that support decision-making or business operations. Remote positions offer flexibility, allowing professionals to work from anywhere with a reliable internet connection.
What are popular job titles related to Data Scraping Remote jobs in Ohio? For Data Scraping Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Scraping Remote jobs in Ohio look for? The top searched job categories for Data Scraping Remote jobs in Ohio are:
What cities in Ohio are hiring for Data Scraping Remote jobs? Cities in Ohio with the most Data Scraping Remote job openings:
Other
Posted 18 days ago
Job description
Description Summary: The Senior Data Scientist 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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