Data Science - TS/SCI w POLY
About The Position
Looking for subject matter expertise to develop a tool to enhance their signature management capabilities and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements. Work Requirements Data Science The Contractor shall work closely with other teams; however, the Sponsor project manager will manage the priorities. The Contractor shall integrate with Sponsor team to develop an understanding of Sponsor data structures. The Contractor shall build out schema and data models, as required by the Sponsor. The Contractor shall complete the Sponsor’s systems administrator security course (approx. 8 hours of training). The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor. The Contractor shall provide briefings, to include presentation slides and user guide documentation, as required by the Sponsor. Data Science The Contractor shall expand the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI). The Contractor shall bridge research output to operational teams by packing models as reliable service. The Contractor shall create operator-focused dashboards. The Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach. The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor. The Contractor shall provide briefings, to include presentation slides and user guide documentation, as required by the Sponsor.
Requirements
- TS/SCI with POLY REQUIRED
- Demonstrated experience with proficiency in Python
- Demonstrated experience with data analytics and transformations
- Demonstrated experience with complex graph database queries
- Demonstrated experience in cloud compute environments
- Demonstrated ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff
- Demonstrated experience in cloud compute environments
- Demonstrated experience in containerization concepts
- Demonstrated experience in Machine Learning Operations (MLOps)
- Demonstrated expertise in software engineering, cloud architecture and UI design
- Demonstrated experience supporting big data environments
- Demonstrated ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff
Nice To Haves
- Demonstrated experience with proficiency in SQL
- Demonstrated experience with Cypher
- Demonstrated experience with Amazon Web Service (AWS), (Lambda)
- Demonstrated experience with Docker
- Demonstrated experience with proficiency in Python and SQL
- Demonstrated experience with Docker
- Demonstrated experience with Flask, Gradio, or Streamlit
Responsibilities
- Work closely with other teams
- Integrate with Sponsor team to develop an understanding of Sponsor data structures
- Build out schema and data models, as required by the Sponsor
- Complete the Sponsor’s systems administrator security course (approx. 8 hours of training)
- Provide weekly highlights summarizing work progress as required by the Sponsor
- Provide briefings, to include presentation slides and user guide documentation, as required by the Sponsor
- Expand the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI)
- Bridge research output to operational teams by packing models as reliable service
- Create operator-focused dashboards
- Deliver a stable, low-cost productions platform that enables rapid, tailored outreach
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
