Data Scientist - Senior
Falls Church, VA · On-site
Examine complex mission and operational problems Create insights from data • Build web scraping algorithms for imagery curation in accordance with customer data priorities • Integrate multiple ...
Data Scientist - Senior
Falls Church, VA · On-site
Examine complex mission and operational problems Create insights from data • Build web scraping algorithms for imagery curation in accordance with customer data priorities • Integrate multiple ...
Data Scientist - Senior
Falls Church, VA · On-site
Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...
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Data Scientist - Senior
Falls Church, VA · On-site
Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...
Data Scientist
Oakton, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Oakton, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Alexandria, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Alexandria, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Reston, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Reston, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Vienna, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Vienna, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Dulles, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Dulles, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Centreville, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Centreville, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Springfield, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Springfield, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Fairfax, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Fairfax, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Burke, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Burke, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Sterling, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Sterling, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Chantilly, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Chantilly, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Herndon, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Herndon, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Falls Church, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Falls Church, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist - Senior
Falls Church, VA · On-site
Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...
Data Scientist - Senior
Falls Church, VA · On-site
Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...
Data Scientist
Annandale, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Annandale, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Arlington, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Arlington, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Merrifield, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
Merrifield, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
West Mclean, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Data Scientist
West Mclean, VA · On-site
$107K - $195K/yr
Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
Freelance Web Data Scraping information
What are some common challenges faced by freelance web data scraping professionals, and how can they be addressed?
Freelance web data scraping professionals often encounter challenges such as website structure changes, anti-scraping measures (like CAPTCHAs or IP blocking), and varying data formats. Staying updated with the latest scraping tools and techniques, using rotating proxies, and employing headless browsers can help overcome these obstacles. Building strong communication with clients to clarify data requirements and proactively addressing potential legal or ethical concerns also contributes to successful project outcomes.
What is the difference between Freelance Web Data Scraping vs Freelance Data Mining?
| Aspect | Freelance Web Data Scraping | Freelance Data Mining |
|---|---|---|
| Credentials | Basic programming skills, knowledge of web scraping tools | Data analysis skills, knowledge of data mining techniques |
| Work Environment | Primarily remote, project-based | Remote or on-site, often involves data analysis platforms |
| Industry Usage | Websites, e-commerce, research | Business intelligence, market research, analytics |
| Search & Comparison Intent | Focus on extracting data from websites | Focus on analyzing large datasets for insights |
Freelance Web Data Scraping involves extracting data directly from websites using programming tools, while Freelance Data Mining focuses on analyzing large datasets to uncover patterns and insights. Both roles require technical skills but serve different purposes in data collection and analysis.
What are the key skills and qualifications needed to thrive as a freelance web data scraper, and why are they important?
To thrive as a Freelance Web Data Scraper, you need strong programming skills in languages like Python, familiarity with HTML/CSS, and a solid understanding of data extraction techniques. Proficiency with tools such as Beautiful Soup, Scrapy, Selenium, and knowledge of APIs is essential, and certifications in data science or web development can be advantageous. Attention to detail, problem-solving abilities, and effective communication help freelancers navigate complex websites and manage client expectations. These skills ensure efficient, ethical, and accurate data extraction, which is crucial for delivering value and maintaining client trust.
What is freelance web data scraping?
Freelance web data scraping involves extracting information from websites on behalf of clients, usually for purposes like research, business intelligence, or data analysis. Freelancers use programming languages and tools, such as Python with libraries like BeautifulSoup or Scrapy, to collect and organize data efficiently. They must ensure their methods comply with legal and ethical guidelines, as not all websites permit data scraping. Clients typically hire freelance web scrapers for specific projects or ongoing data collection needs.
What are the most commonly searched types of Web Data Scraping jobs in Virginia? The most popular types of Web Data Scraping jobs in Virginia are:
What are popular job titles related to Freelance Web Data Scraping jobs in Virginia? For Freelance Web Data Scraping jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance Web Data Scraping jobs in Virginia look for? The top searched job categories for Freelance Web Data Scraping jobs in Virginia are:
What cities in Virginia are hiring for Freelance Web Data Scraping jobs? Cities in Virginia with the most Freelance Web Data Scraping job openings:
Full-time
Re-posted 11 days ago
Job description
Job Summary:
GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.
Responsibilities:
• Integrate emerging sensors and platforms into existing data pipelines and workflows, including: Developing pipelines and relevant data structures for emerging capabilities Incorporating new data types into existing data workflows
• Assess potential differences in metadata, data format, and data structure characteristics regarding changes to: Databases and schemas APIs and other ETL-related processes Ingestion and movement of data within the existing data operations pipelines
• Conduct analysis of how emerging data impacts overall program data holdings from the perspective of: Machine Learning model development Test and evaluation use cases Real-world operational use cases
• Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
• Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
• Lead projects using advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problems Create insights from data
• Build web scraping algorithms for imagery curation in accordance with customer data priorities
• Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
• Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
• Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
• Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
• Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
• Build software tools to manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status Transferring label task information via API-based movement between platforms
• Build software tools to: Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with existing data management platforms
• Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
• Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation
Qualifications:
Required:
• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Experience working with AI/ML technologies and data systems
• Experience working with multiple file types including: Geospatial file formats, JSON, XML, and related formats
• 3+ years of experience in quantitative analysis and data operations, including: Developing visualizations and processing complex data to create data-driven insights, Data manipulation and ETL procedures, Working knowledge of SQL and NoSQL database technologies
• Development experience in Python and other languages for data cleaning and manipulation
Preferred:
• Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
• Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
• Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.
Responsibilities:
• Integrate emerging sensors and platforms into existing data pipelines and workflows, including: Developing pipelines and relevant data structures for emerging capabilities Incorporating new data types into existing data workflows
• Assess potential differences in metadata, data format, and data structure characteristics regarding changes to: Databases and schemas APIs and other ETL-related processes Ingestion and movement of data within the existing data operations pipelines
• Conduct analysis of how emerging data impacts overall program data holdings from the perspective of: Machine Learning model development Test and evaluation use cases Real-world operational use cases
• Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
• Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
• Lead projects using advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problems Create insights from data
• Build web scraping algorithms for imagery curation in accordance with customer data priorities
• Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
• Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
• Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
• Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
• Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
• Build software tools to manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status Transferring label task information via API-based movement between platforms
• Build software tools to: Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with existing data management platforms
• Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
• Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation
Qualifications:
Required:
• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Experience working with AI/ML technologies and data systems
• Experience working with multiple file types including: Geospatial file formats, JSON, XML, and related formats
• 3+ years of experience in quantitative analysis and data operations, including: Developing visualizations and processing complex data to create data-driven insights, Data manipulation and ETL procedures, Working knowledge of SQL and NoSQL database technologies
• Development experience in Python and other languages for data cleaning and manipulation
Preferred:
• Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
• Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
• Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.