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Manager Web Scraping Jobs in Washington (NOW HIRING)

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.

Data Scientist

Mclean, VA · On-site

$131K - $237K/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

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.

... and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems ... Build web scraping algorithms for imagery curation in accordance with customer data priorities

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.

OSINT Analyst

Washington, DC · On-site

$98K - $163K/yr

Managing tool enablement for clients, including hands-on support and coordination with vendors as ... Other technology (e.g., natural language processing, web-scraping techniques), * Cyber threat ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source ... Data Management & Optimization * Collect, clean, validate, and manage large volumes of structured ...

Examine complex mission and operational problems Create insights from data • Build web scraping ... manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status ...

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Data Management & Optimization * Collect, clean, and validate large volumes of structured and ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Data Management & Optimization * Collect, clean, and validate large volumes of structured and ...

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Showing results 1-20

Manager Web Scraping information

What are some common challenges faced by a Manager Web Scraping, and how can they be addressed?

A Manager Web Scraping often encounters challenges such as dealing with frequent website structure changes, managing large-scale data extraction efficiently, and ensuring compliance with legal and ethical standards. Addressing these requires staying updated on web technologies, implementing robust monitoring and alerting systems, and developing adaptable scraping strategies. Additionally, fostering collaboration with legal teams and data engineers can help ensure smooth operations and minimize risks. Regular training and knowledge sharing within the team can also be invaluable for overcoming evolving technical obstacles.

What is the difference between Manager Web Scraping vs Data Analyst?

AspectManager Web ScrapingData Analyst
Primary FocusOverseeing web scraping projects, managing scraping teams, ensuring data qualityAnalyzing data sets, generating reports, interpreting data insights
Skills & CertificationsWeb scraping tools, programming (Python, SQL), project managementStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTech teams, data engineering, project managementBusiness units, data teams, reporting environments
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

While both roles involve working with data, the Manager Web Scraping primarily oversees the technical process of extracting data from websites, managing teams, and ensuring data quality. In contrast, a Data Analyst focuses on interpreting data, creating reports, and providing insights to support business decisions. Both roles require technical skills, but their core responsibilities and work environments differ.

What is a Manager Web Scraping?

A Manager Web Scraping is a professional responsible for overseeing teams and projects that extract data from websites using automated tools and scripts. They coordinate the development and maintenance of web scraping systems, ensure data quality, and handle technical challenges like site changes or anti-scraping measures. This role also involves managing compliance with legal and ethical standards related to web data extraction, as well as collaborating with data analysts and engineers to deliver actionable insights for the organization.

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

To thrive as a Manager Web Scraping, you need advanced programming skills (Python, JavaScript), a strong understanding of data extraction techniques, and experience managing data engineering projects, often supported by a computer science degree or equivalent experience. Familiarity with web scraping frameworks (like Scrapy or BeautifulSoup), headless browsers, APIs, and cloud-based solutions is essential, along with knowledge of relevant legal and ethical guidelines. Strong leadership, problem-solving abilities, and effective communication skills help in coordinating teams and addressing complex data challenges. These competencies are vital for ensuring efficient, scalable, and compliant data collection processes that drive business insights.
What are the most commonly searched types of Web Scraping jobs in Washington? The most popular types of Web Scraping jobs in Washington are:
What cities in Washington are hiring for Manager Web Scraping jobs? Cities in Washington with the most Manager Web Scraping job openings:
Infographic showing various Manager Web Scraping job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Data Scientist

Data Scientist

Leidos

Mclean, VA • On-site

$107K - $195K/yr

Full-time

Retirement, PTO

Re-posted yesterday


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 451 rated business services


Job description

Leidos has a new and exciting opportunity for a Data Scientist in our Intel Sector Analysis Solutions Business Area (ASBA) in McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area!

Job Summary:

We are looking for a Data Scientist with an entrepreneur's mindset to support a fast-paced and growing data science team working on projects critical to National Security.

Responsibilities Include:

  • Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges.
  • Construct and execute complex database search queries across multiple databases using SQL and API interfaces.
  • 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.
  • Learn and leverage technologies including AWS and Git.

Basic Qualifications:

  • Must have TS/SCI with Polygraph.
  • BS degree and 8 - 12 years of prior relevant technical experience or Masters with 6 - 10 years of prior technical relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree.
  • Experience with Python is required.
  • Strong SQL skills and experience with relational databases and APIs for data extraction is required.
  • Experience with supervised and unsupervised learning and natural language processing (NLP) is required. Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow
  • Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods.
  • Proficiency with data visualization tools (e.g., Tableau, Plotly, Seaborn, Matplotlib) is required.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 1, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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Benefits

Hours and flexibility

Workplace

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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