Data Scientist

Paragon Cyber Solutions LLC

Washington (District of Columbia)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan (Medical, Dental &amp
Retirement Plan (401K w/ employer
Paid Time Off & 11 Paid Public
Short and Long-Term Disability
Healthy Work-Life Balance
Training & Development

Job summary

Paragon Cyber Solutions LLC is seeking a Data Scientist to support a Government intelligence mission by building analytics and predictive capabilities for intelligence decision makers.

The role emphasizes applying statistics, ML, and data visualization to transform complex technical work into clear, decision-ready outputs for stakeholders. Strong experience with Python/R/SQL and open-source ML tools is expected.

Qualifications

  • Bachelor’s degree preferred, with four years of relevant experience.
  • Proficiency with Python, R, or SQL for data analysis and modeling.
  • Experience building ML models with open-source tools such as scikit-learn, TensorFlow, PyTorch.
  • Experience with data mining, statistical analysis, and predictive modeling.
  • Ability to analyze large datasets to identify trends and findings.
  • Experience with data visualization tools like Tableau or Power BI.

Responsibilities

  • Apply advanced statistics, AI, ML, and data science to transform complex work into graphical, written, visual, and verbal products.
  • Detect trends in intelligence data and integrate IC data sources.
  • Develop ML models and predictive analytics using open-source tools.
  • Support Government intelligence search and discovery with code and algorithms.
  • Document findings and prepare deliverables for stakeholders.

Skills

Python
R
SQL
Machine Learning
Data Analysis
Data Visualization
Big Data

Education

Bachelor’s degree
4 years of relevant experience

Tools

scikit-learn
TensorFlow
PyTorch
Tableau
Power BI
Git
Relational databases
NoSQL databases
Cloud computing

Job description

Paragon Cyber Solutions is seeking a Data Scientist to support a Government intelligence mission by building analytics and predictive capabilities for intelligence decision makers.

Responsibilities
  • Apply mathematics, statistics, information science, artificial intelligence, machine learning, and related scientific techniques to transform complex technical work into graphical, written, visual, and verbal products
  • Detect trends within intelligence data and incorporate additional Intelligence Community (IC) data sources
  • Develop and apply machine learning, data mining, and prediction algorithms using open-source capabilities
  • Integrate or code algorithms supporting Government intelligence search and discovery missions
  • Recommend best practices for data management across hardware, software, storage, and bandwidth limitations
  • Use data science methods for predictive analysis, social media and crowd-sourced analytics, wargaming, and strategy development
  • Conduct exploratory analysis and rapid iteration on large data volumes to produce intelligence quickly
  • Prepare deliverables that document findings and activities for stakeholders
Requirements
  • Bachelor’s degree preferred, with four (4) years of relevant experience
  • Proficiency with Python, R, or SQL for data analysis and modeling
  • Experience building and applying machine learning models using open-source tools such as scikit-learn, TensorFlow, and PyTorch (or similar)
  • Experience with data mining, statistical analysis, and predictive modeling
  • Proven ability to analyze large, complex datasets to identify trends and produce findings
  • Experience with data visualization tools such as Tableau or Power BI (or similar)
  • Hands-on experience with relational and/or NoSQL database systems
  • Familiarity with cloud computing and data management within storage and bandwidth constraints
  • Experience using version control systems such as Git
  • Strong analytical and problem-solving skills
  • Ability to communicate technical findings in written, visual, and verbal formats for non-technical stakeholders
Technologies
  • Python, R, SQL
  • scikit-learn, TensorFlow, PyTorch
  • Tableau, Power BI
  • Relational database systems, NoSQL database systems
  • Cloud computing
  • Git
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401K w/ employer matching)
  • Paid Time Off & 11 Paid Public Holidays
  • Short and Long-Term Disability
  • Healthy Work-Life Balance
  • Training & Development
Clearance
  • TS/SCI with ability to obtain and maintain CI polygraph
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