Data Science - TS/SCI w POLY

Falls Technology

88d

About The Position

Seeking subject matter expertise to develop a tool to enhance signature management capabilities, integrate diverse data holdings, and leverage novel AI/ML solutions to support operational requirements. This role involves working closely with teams, understanding Sponsor data structures, building schemas and data models, and completing security training. The position requires expanding the AI/ML architecture, developing an analytics user interface, bridging research to operational teams by packaging models as reliable services, creating operator-focused dashboards, and delivering a stable, low-cost production platform for rapid, tailored outreach. Regular communication through weekly highlights, briefings, presentation slides, and user guide documentation is expected.

Requirements

• Proficiency in Python.
• Experience with data analytics and transformations.
• Experience with complex graph database queries.
• Experience in cloud compute environments.
• Ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff.
• Experience in containerization concepts.
• Experience in Machine Learning Operations (MLOps).
• Expertise in software engineering, cloud architecture and UI design.
• Experience supporting big data environments.

Nice To Haves

• Proficiency in SQL
• Experience with Cypher
• Experience with Amazon Web Service (AWS), (Lambda)
• Experience with Docker
• Proficiency in Python and SQL
• Experience with Docker
• Experience with Flask, Gradio, or Streamlit

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed