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Prescient Edge

Senior Data Scientist

Mclean, VA · On-site

Job Title Senior Data Scientist Location McLean, VA 22102 US (Primary) Category Research ... Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and ...

Red Oak Sourcing

$67K - $108K/yr

Ability to work and communicate with variety of stakeholders, particularly senior executives * Experience with web scraping * Excellent communication and presentation skills and attention to detail

Diverse Lynx

Technical Recruiter

Cambridge, MA · On-site

... to senior-level talent. You will act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement ...

Diverse Lynx LLC

Technical Recruiter

Cambridge, MA

... to senior-level talent. You will act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN

Senior data scientist. * Research various analytical approaches * Recommend and develop ... Experience with web scraping * Experience with Text Matching applications Nice to have:

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... Web Frameworks, MLOps, Data Engineering Role Overview: Sr AI/ML Lead with around 15+ years of hands ... Scraping * Data & Engineering - SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data ...

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How much do senior web scraping jobs pay per year?

As of Jun 8, 2026, the average yearly pay for senior web scraping in the United States is $133,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $169,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Web Scraping vs Data Engineer?

AspectSenior Web ScrapingData Engineer
CredentialsProficiency in programming, web technologies, and data extraction toolsDegree in Computer Science, Data Science, or related fields; experience with databases and ETL processes
Work EnvironmentProject-based, focused on developing and maintaining web scraping scriptsData pipelines, infrastructure, and large-scale data processing systems
Industry UsageUsed across tech, e-commerce, research, and marketing sectors for data collectionUsed in data-driven companies for data storage, transformation, and analysis
Search & Comparison IntentUnderstanding roles, skills, and responsibilities in web data extractionExploring data infrastructure, pipelines, and data management roles

While Senior Web Scraping specialists focus on extracting data from websites using programming skills, Data Engineers build and maintain the infrastructure for storing and processing large datasets. Both roles require technical expertise but serve different stages of data handling in organizations.

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Senior Web Scraping jobs near you
Senior Data Scientist

Senior Data Scientist

Prescient Edge

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 6 hours ago

Job description

Job Title
Senior Data Scientist
Location
McLean, VA 22102 US (Primary)
Category
Research, Development, and Engineering
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
None
Security Clearance Required
TS/SCI
Job Description
Prescient Edge is seeking a Senior Data Scientist to support federal government clients.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

As a Senior Data Scientist, you will:
  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more infom1ed analytic decisions.
  • Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes.
  • Duties typically include creating various ML based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
  • Design, prototype, test, and maintain software and web-based applications and content solutions to satisfy customer requirements.
  • Support software and web architecture development, requirements analysis, process execution and evaluation, selection, and evaluation of COTS/GOTS tools, and integration (with both new and legacy systems).
  • Work with and design, prototype, & deployment of complex asynchronous frameworks.
  • Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries to handle large datasets.
  • Customize and oversee integration tools, warehouses, databases, and analytical systems
  • Advanced experience with databases design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume data pipelines.
  • Configure and provide availability for data-access tools used by all data scientists.
  • Work with and design, develop, and actively participate in open-source libraries and technologies such as the Netflix/Twitter stack or equivalent Microservices tooling sud1 as Service Discovery, Circuit Breakers, and Software Load Balancing.
  • Design, prototype, and integrate distributed caching frameworks such as Evcache and Redis Work with Platforms as a Service such as AWS, Cloud and OpenShift.
  • Follow a formal design process using formal specifications, data flow diagrams, and other accepted design techniques and also shall adhere to laws, standards, and established guidelines for prototyping and delivery of software and web tools (e.g., software reuse, modifiable, efficient, reliable, understandable, fault tolerant).
  • Shall provide software process management and configuration management throughout the software/web prototyping lifecycle.
  • Collaborate between team members, participating in AGILE scrum for prototyping and product development, as needed.
  • Aid in the development of strategies, roadmaps, standards, and reference architecture / implementation of prototypes into Enterprise tools.
  • Develop and maintain current and planned state architectural documents such as Domain roadmaps, Standards, Patterns, reference architecture/implementation documents for Enterprise Applications.
  • Develop full-stack and reference architecture designs for infrastructure across hybrid environments inclusive of cloud platforms.
  • Should have prior experience with large data Multi-INT analytics, ML, large language models, and automated predictive analytics.
  • Shall solve complex problems with many variables using various security, network, storage, and computer platforms.
  • Shall participate in the development of governance processes to ensure that objectives are achieved, risks are managed appropriately, and the organization's resources are used responsibly for the infrastructure landscape.

Job Requirements
Desired experiences:
  • At least 8 years of professional experience with data science.
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts.
  • Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics.
  • Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
  • Demonstrates comprehensive mission knowledge and skills that affirms completion of all developmental training and experiences for the labor category.
  • Demonstrates ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, &/or technically advanced
  • Demonstrates ability to work independently with minimal oversight and direction.
  • Demonstrates ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution.
  • Experience applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform and Load (ETL) pipelines, Web Application Servers, or Search Index.
  • Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests or Antigravity.
  • Experience applying complex mathematical and statistical concepts.
  • Experience applying statistical and operations research methods and tools.
  • Experience employing spreadsheets for data manipulations and visualizations.
  • Relevant industry certification such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associates (EMCDSA)/Cloudera System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera).

Typical education:
  • Bachelor's degree.

Security Clearance:
  • Security clearance - Minimum of TS, with ability to get TS/SCI

Location:
  • Remote, with possible Client Site Travel.

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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