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Data Scientist na SOS International LLC

SOS International LLC · Chantilly, Estados Unidos Da América · Onsite

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Overview:

SOSi is seeking a Data Scientist supporting a government customer in Chantilly, VA and a familiarity with our Sponsor’s environment. The ideal candidate will have a background in AI/ML model development, have experience in Python programming, handling SQL databases, and comfortable working in command line interfaces. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.

Responsibilities:
  • Develop and deploy data science solutions leveraging Python or similar languages.
  • Utilize Linux and Windows® OS for data processing and model deployment.
  • Work with Cyber data sources such as Shodan, Censys.IO, etc., for analysis and insights.
  • Clean, manage, optimize performance, and process large volumes of unstructured text data.
  • Prioritize tasks efficiently and adapt solutions to meet project requirements.
  • Collaborate effectively within diverse teams to achieve project goals.
  • Document processes and outcomes for transparency and future reference.
Qualifications:
  • TS/SCI w/Poly Government Security Clearance.
  • 1-3 years of experience as a Data Scientist, with a STEM degree (field such as computer science, statistics, data analytics, computer engineering, mathematics, etc.).
  • Programming knowledge in Python or similar language.
  • Experience with both Linux and Windows® Operating Systems.
  • Experience working with Cyber data to include examples such as (Shodan, Censys.IO, etc.). 
  • Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of unstructured text data.
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Preferred Qualifications:
  • Experience within the Sponsor's environment.
  • Experience working with Cyber data and tools.
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Working Conditions:
  • Working conditions are normal for an office environment.
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