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TS/SCI FS Poly cleared Data Scientist
ClearanceJobs - Chantilly, Virginia, United States, 22021
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Overview
Principal Data Scientist
Our client, a leading government systems integrator located in Chantilly, VA, is in need of a TS/SCI Full Scope Poly cleared Principal Data Scientist for an initial 6 month contract, likely to extend another year. The Data Scientist will work onsite daily, supporting federal law enforcement. They will be responsible for integrating the low-side model into the high-side environment, followed by retraining with high-side data. Responsibilities also include fine-tuning the model, conducting test and evaluation (V&V) for full production, and additional custom development (to be scoped). Required skills: Active DoD TS/SCI with full scope polygraph 5+ years experience working as a Data Scientist Proficient with Python, Databricks, Apache Spark Hands-on experience with machine learning ops and familiarity with both supervised and unsupervised machine learning (around time series and event-based constructs) Experience in pattern matching Proficient with containerization (Databricks/Kubernetes), LLM/NLP, and model tuning/ validation/ testing Experience with AWS Preferred Skills: Tableau
Our client, a leading government systems integrator located in Chantilly, VA, is in need of a TS/SCI Full Scope Poly cleared Principal Data Scientist for an initial 6 month contract, likely to extend another year. The Data Scientist will work onsite daily, supporting federal law enforcement. They will be responsible for integrating the low-side model into the high-side environment, followed by retraining with high-side data. Responsibilities also include fine-tuning the model, conducting test and evaluation (V&V) for full production, and additional custom development (to be scoped). Required skills: Active DoD TS/SCI with full scope polygraph 5+ years experience working as a Data Scientist Proficient with Python, Databricks, Apache Spark Hands-on experience with machine learning ops and familiarity with both supervised and unsupervised machine learning (around time series and event-based constructs) Experience in pattern matching Proficient with containerization (Databricks/Kubernetes), LLM/NLP, and model tuning/ validation/ testing Experience with AWS Preferred Skills: Tableau