TS/SCI with POLY REQUIRED
Looking for subject matter expertise to develop a tool to enhance their signature management capabilitiesandtointegratetheSponsor’sdiversedataholdingsandtoleveragenovelAI/MLsolutionsto support the Sponsor’s operational requirements.
Work Requirements
Data Science
- TheContractorshallworkcloselywithotherteams; however, theSponsorprojectmanagerwillmanage the priorities.
- TheContractorshallintegratewithSponsorteamtodevelopananunderstandingofSponsordata structures.
- The Contractor shall build out schema and data models, as required by the Sponsor.
- TheContractorshallcompletetheSponsor’ssystemsadministratorsecuritycourse(approx.8hours of training).
- The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
- TheContractorshallprovidebriefings,toincludepresentationslidesanduserguidedocumentation,asrequiredbytheSponsor.
Data Science
- TheContractorshallexpandthesponsor’sArtificialIntelligenceandMachineLearning(AI/ML)architectureanddevelopananalyticsuserinterface(UI).
- The Contractor shall bridge research output to operational teams by packing models as reliable service.
- The Contractor shall create operator-focused dashboards.
- TheContractorshalldeliverastable,low-costproductionsplatformthatenablerapid,tailored outreach.
- The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
- TheContractorshallprovidebriefings,toincludepresentationslidesanduserguidedocumentation,asrequiredbytheSponsor.
Required Skills and Demonstrated Experience
The Contractor shall have the following required skills, certifications, and demonstrated experience:
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.
- Data Science #2
- 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.
Highly Desired Skills and Demonstrated Experience
Skills and demonstrated experiences that are highly desired but not required to perform the work include:
-
- Data Science #1
- Demonstrated experience with proficiency in SQL
- Demonstrated experience with Cypher
- Demonstrated experience with Amazon Web Service (AWS), (Lambda)
- Demonstrated experience with Docker
- Data Science #2
- Demonstrated experience with proficiency in Python and SQL
- Demonstrated experience with Docker
- Demonstrated experience with Flask, Gradio, or Streamlit
TS/SCI with POLY REQUIRED