Data Scientist

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Company: Calibrate North LLC

Location: Herndon, VA 20171

Description:

Job Description
Title: Data Scientist
Location: Herndon, VA (Onsite)
Terms: Full-Time/Permanent
Clearance: All applicants must have an active Top Secret/SCI (TS/SCI) with a Full-Scope Polygraph security clearance

The customer leverages technical resources to enhance the fast, secure, and dependable delivery of open-source data, information, and insights. This position involves providing development support to create customized solutions for complex global collection challenges. Depending on the problem at hand, work may be conducted independently or collaboratively within a team. Responsibilities include developing resources within Amazon Web Services (AWS), requiring expertise across various computing, storage, and networking services to meet the Sponsor's needs.

  • Develop automated collection frameworks, adaptive analytic models, workflow automations, and other assigned automation solutions to support client strategies.
  • Optimize and improve the efficiency of automated solutions by analyzing performance data, engaging with customers, and following a structured maintenance schedule.
  • Utilize data science techniques and visual programming to enhance and streamline analytical processes based on stakeholder and government requirements.
  • Improve technical solutions addressing IC intelligence integration, automated data collection, tipping and cueing, information sharing, and data visualization.
  • Perform in-depth analytic modeling, data collection, processing, mining, and visualization, while identifying gaps in existing technologies and workflows.
  • Keep customers informed on project progress, process updates, and new technologies as they become available.


  • Requirements

  • The ideal candidate is proficient in key data science tools and programming languages, including Python, PostgreSQL/SQL, Spark, and Git, with NiFi experience being a plus.
  • Experience working with open-source data sets.
  • Proven ability to clean, manage, optimize, and process large data volumes efficiently.
  • The Data Scientist understands industry best practices for software and hardware optimization when handling large datasets and has expertise in the following areas: machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics. Familiarity with Hadoop, Spark, or other parallel computing and storage technologies is a plus.
  • Experience working with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.


  • Benefits

  • Competitive wages
  • Group Term Life Insurance, LTD, and STD benefits
  • Medical, Dental, Vision, Disability, and Life Insurance Plans
  • 401k and Retirement Options
  • Paid Time Off (PTO)
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