Data Science - TS/SCI w POLY

 TS/SCI with POLY REQUIRED

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.

WorkRequirements

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
  datastructures.
• The Contractor shall build out schema and data models, as required by theSponsor.
• The
  Contractor
  shall
  complete
  the
  Sponsor’s
  systems
  administrator
  security
  course
  (approx.
  8
  hours
  oftraining).
• The Contractor shall provide weekly highlights summarizing work progress as required by theSponsor.
• 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 reliableservice.
• The Contractor shall create operator-focuseddashboards.
• The
  Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailoredoutreach.
• The Contractor shall provide weekly highlights summarizing work progress as required by theSponsor.
• The
  Contractor
  shall
  provide
  briefings,
  to
  include
  presentation
  slides
  and
  user
  guide
  documentation,
  as required by the Sponsor.

Required Skills and DemonstratedExperience

The Contractor shall have the following required skills, certifications, and demonstratedexperience:

• • 
    Data Science#1

•Demonstrated experience with proficiency inPython.

• 
  Demonstrated experience with data analytics andtransformations.
• 
  Demonstrated experience with complex graph databasequeries.
• 
  Demonstrated experience in cloud computeenvironments.
• 
  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 computeenvironments.
• 
  Demonstrated experience in containerizationconcepts.
• 
  Demonstrated experience in Machine Learning Operations(MLOps).
• 
  Demonstrated expertise in software engineering, cloud architecture and UIdesign.
• 
  Demonstrated experience supporting big dataenvironments.
• 
  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 DemonstratedExperience

Skills and demonstrated experiences that are highly desired but not required to perform the workinclude:

• • 
    Data Science#1
  • 
    Demonstrated experience with proficiency inSQL
  • 
    Demonstrated experience withCypher
  • 
    Demonstrated experience with Amazon Web Service (AWS),(Lambda)
  • 
    Demonstrated experience withDocker
  • 
    Data Science#2
  • 
    Demonstrated experience with proficiency in Python andSQL
  • 
    Demonstrated experience withDocker
  • 
    Demonstrated experience with Flask, Gradio, orStreamlit
    

 TS/SCI with POLY REQUIRED