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Freelance Web Data Scraping Jobs in Virginia (NOW HIRING)

Leidos

Data Scientist

Dunn Loring, 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.

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

Data Scientist

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.

Leidos

Data Scientist

Great Falls, 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.

Leidos

Data Scientist

Greenway, 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.

GRVTY

Data Scientist - Senior

Falls Church, VA

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 ...

Leidos

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.

Leidos

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.

GRVTY

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 ...

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

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.

Leidos

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.

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Freelance Web Data Scraping information

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 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 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?

AspectFreelance Web Data ScrapingFreelance Data Mining
CredentialsBasic programming skills, knowledge of web scraping toolsData analysis skills, knowledge of data mining techniques
Work EnvironmentPrimarily remote, project-basedRemote or on-site, often involves data analysis platforms
Industry UsageWebsites, e-commerce, researchBusiness intelligence, market research, analytics
Search & Comparison IntentFocus on extracting data from websitesFocus 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 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:

Freelance Web Data Scraping jobs near you
Infographic showing various Freelance Web Data Scraping job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Talent Intelligence Research Engineer

McChrystal Group

Alexandria, VA

$125K - $190K/yr

Full-time

Re-posted 18 days ago

Job description

Position Overview: 

Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Talent Intelligence Research Engineer is the analytical engine behind that work. 

In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients’ own workforce data. 

The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing? 

To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel. 

This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership. 

Workforce & Talent Intelligence

  • Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics. 

  • Develop methodologies to estimate or infer workforce attributes that are not directly observable. 

  • Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities. 

  • Produce actionable talent intelligence for client engagements. 

  • Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences. 

Research Engineering & Data Acquisition

  • Acquire data from public, commercial, and proprietary sources. 

  • Develop custom web scraping, extraction, and enrichment workflows to support research initiatives. 

  • Build one-off software tools and analytical applications required to answer specific business questions. 

  • Evaluate data quality, completeness, and reliability across multiple sources. 

  • Rapidly learn and apply new technologies, techniques, and datasets as project requirements evolve. 

Machine Learning, AI & Advanced Analytics

  • Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems. 

  • Develop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate. 

  • Leverage large language models and modern AI tooling to accelerate research and insight generation. 

  • Design experiments and validation approaches to assess analytical accuracy and reliability. 

  • Translate analytical outputs into practical business recommendations. 

Consulting & Collaboration

  • Partner with consultants, researchers, and client-facing stakeholders to understand business challenges. 

  • Contribute to the development of proprietary talent intelligence methodologies and intellectual property. 

  • Support client engagements through research, analytical problem solving, and technical expertise. 

  • Present research findings and recommendations to clients and internal stakeholders. 

  • Share tools, approaches, and best practices across the organization. 

Qualifications:

Required Qualifications 

  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field. 

  • 4-6 years of relevant experience 

  • Experience conducting independent analytical or research-oriented projects. 

  • Strong programming skills, particularly in Python. 

  • Strong analytical reasoning and problem-solving abilities. 

  • Ability to work effectively in ambiguous environments with limited precedent or direction. 

  • Excellent written and verbal communication skills. 

  • Experience with labor market, workforce, recruiting, compensation, or organizational data. 

  • Experience working with large structured and unstructured datasets. 

  • Must be able to obtain and maintain a U.S. Government security clearance. 

Preferred Qualifications 

  • Experience with web scraping, data acquisition, and information extraction. 

  • Experience with machine learning, NLP, or AI-assisted analytics. 

  • Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.