Data Freelance Hub
Data Scientist - Poly Clearance Required! with Security Clearance
Data Freelance Hub, Chantilly, Virginia, United States, 22021
Data Scientist - Poly Clearance Required! with Security Clearance
This role is for a Data Scientist requiring Poly Clearance to create visualizations and dashboards for High Performance Computing (HPC) infrastructure.
Location: Chantilly, VA, United States
Overview Praxis is a prime contractor on an HPC contract supporting a restricted customer and select mission partners. The program delivers advanced computing capabilities for scientific, data science, and AI/ML workloads, enabling high‑fidelity analytics and model development.
Key Skills
Data Science
Visualization
AI/ML
HPC Infrastructure
Performance Analysis
Responsibilities
Pull, groom, and analyze system and log data to assess performance characteristics of the HPC platform.
Create visualizations, reports, and dashboards for management to support monitoring and decision‑making.
Develop and extend data‑science and visualization techniques to produce online and on‑display dashboards.
Collaborate with the HPC team, system administration, and users to tailor data for insightful consumption.
Identify requirements to improve HPC hardware, software, and tools for mission partners and guide future investments.
Expand scope over time to support emerging disciplines such as MLOps, LLM integrations, and AI‑enabled services.
Qualifications
Poly Clearance (or clearance eligibility).
Experience with data science, visualization, and machine learning projects.
Familiarity with HPC environments, clustered GPUs, and massively parallel CPU systems.
Strong analytical, communication, and project management skills.
Ability to translate complex technical data into clear, actionable visual artifacts.
Contract: Unspecified length. Compensation: Unspecified $.
Expiration: December 29, 2025
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Location: Chantilly, VA, United States
Overview Praxis is a prime contractor on an HPC contract supporting a restricted customer and select mission partners. The program delivers advanced computing capabilities for scientific, data science, and AI/ML workloads, enabling high‑fidelity analytics and model development.
Key Skills
Data Science
Visualization
AI/ML
HPC Infrastructure
Performance Analysis
Responsibilities
Pull, groom, and analyze system and log data to assess performance characteristics of the HPC platform.
Create visualizations, reports, and dashboards for management to support monitoring and decision‑making.
Develop and extend data‑science and visualization techniques to produce online and on‑display dashboards.
Collaborate with the HPC team, system administration, and users to tailor data for insightful consumption.
Identify requirements to improve HPC hardware, software, and tools for mission partners and guide future investments.
Expand scope over time to support emerging disciplines such as MLOps, LLM integrations, and AI‑enabled services.
Qualifications
Poly Clearance (or clearance eligibility).
Experience with data science, visualization, and machine learning projects.
Familiarity with HPC environments, clustered GPUs, and massively parallel CPU systems.
Strong analytical, communication, and project management skills.
Ability to translate complex technical data into clear, actionable visual artifacts.
Contract: Unspecified length. Compensation: Unspecified $.
Expiration: December 29, 2025
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