Data Scientist - AI, LLMs & Predictive Analytics

CompQsoft, Inc.

Herndon (VA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

CompQsoft, Inc. in Herndon, VA, is seeking a Data Scientist on a long-term contract to support the Department of State. You will help build predictive analytics, develop models, and guide data-driven decisions in a fast-paced team.

The role emphasizes hands-on data science, collaboration with architects and cloud engineers, and delivering scalable, secure analytics solutions with a focus on governance and compliance for enterprise data platforms.

Qualifications

  • Bachelor's degree in STEM with Data Science focus.
  • Minimum 2 years of data science experience.
  • Strong written and verbal communication to diverse stakeholders.
  • Ability to design collection, cleaning, and analysis of large datasets.
  • Proven experience with statistical methods and ML for predictive models.
  • Experience programming in Python, R, and/or Scala.
  • Active Secret clearance (Interim acceptable).

Responsibilities

  • Develop data analytics products and AI services.
  • Design and transform large datasets to identify patterns and insights.
  • Implement data-driven solutions using LLMs, including prep and fine-tuning.
  • Collaborate with cross-functional teams to integrate LLM capabilities.
  • Adhere to architectural governance and sustainable development.
  • Support predictive analytics model design.
  • Assist in architecture and implementation of large-scale data analytics projects.

Skills

Python
R
Scala
Communication
Statistical methods
Machine learning

Education

Bachelor's degree in STEM field

Tools

PowerBI
Tableau
R Shiny
Jupyter
Zeppelin
Azure Data Factory
Databricks
Synapse

Job description

CompQsoft, Inc. in Herndon, VA, is seeking a Data Scientist on a long-term contract to support the Department of State. You will help build predictive analytics, develop models, and guide data-driven decisions in a fast-paced team.

The role emphasizes hands-on data science, collaboration with architects and cloud engineers, and delivering scalable, secure analytics solutions with a focus on governance and compliance for enterprise data platforms.

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