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Senior Computer Scientist (Top Secret Cleared

Job in Washington, District of Columbia, 20022, USA
Listing for: Aitopics
Part Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Senior Computer Scientist (Top Secret Cleared)

Responsibilities

  • Evaluate COTS software
  • Evaluate open source software
  • Implement information processing projects
  • Improve performance, security, and functionality
Work Arrangement and Location

Hybrid work mode, Professional development opportunities, Mid-level position at Georgetown University, Main Campus:
Walsh School.

Technologies and Tools
  • AWS Batch
  • Agile
  • AWS Athena
  • AWS Redshift
  • Apache Airflow
  • Adobe Analytics
  • Agentic AI
  • Anthropic Claude
  • Algorithms
  • Clustering
  • Component analysis
  • Data Structures
  • Deep learning
  • Dash
  • Data Mining
  • Data Modeling
  • Data Quality
  • Data Visualization
  • Electromagnetism
  • Mechanics
  • Num Py
  • Numerical Simulation
  • Pandas
  • Computational physics
  • C#
  • MATLAB
  • Computer Vision
  • Convolutional Neural Networks
  • Data Pipelines
  • Gradient boosting
  • Adaptive Sampling
  • Bayesian Inference
  • Bayesian Modeling
  • Code review
  • Distributed Computing
  • Cause analysis
  • Data Drift
  • Excel
  • Anomaly Detection
  • Big Data
  • Classification
Benefits
  • 401k retirement plan, 401k match
  • Dental insurance, Medical insurance, Health insurance
  • Long-term disability, Life insurance
  • Employee assistance program, Commuter benefits, Employee discount, Employee stock purchase plan, Flexible spending account, Health savings account
  • Company holidays, Paid national holidays, Floating paid holidays
  • Catered lunches, Free daily lunch, Summer party, Team collaboration
  • Professional growth opportunities, Career growth opportunities, Mentorship, Sponsorship
  • Learning culture, Work‑life balance, Casual dress code
  • Relocation assistance, Company equipment provided
Work Schedule
  • Flexible schedule, Hybrid work model, Flexible hours
  • Freelance projects, Part‑time work, Project based work, Freelance opportunities, Part‑time hours
  • Onsite work
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Position Requirements
10+ Years work experience
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