QinetiQ - St. Louis, MO

posted 5 months ago

Full-time - Mid Level
St. Louis, MO
Machinery Manufacturing

About the position

QinetiQ US is seeking a results-driven Data Scientist to support National Security Group (NSG) strategies through the development of automated collection models, dynamic analytic models, workflow automations, and other automation processes and products as assigned. This role is pivotal in enhancing operational performance by refining and improving existing automated solutions through performance data evaluation, regular customer interaction, and a standardized maintenance cycle. The Data Scientist will apply data science and visual programming techniques to streamline analysis tasks as identified by stakeholders and government entities. In this position, the Data Scientist will enhance technical solutions to address challenges related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Responsibilities include conducting extensive collections and analytic modeling, data processing, data mining, and visualization. The role also involves performing gap analyses on existing technologies and processes, providing updates to customers on project progress, and communicating emerging technologies as they become available. The Data Scientist will be responsible for designing, integrating, and maintaining Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Additionally, the role requires conducting customer elicitation to identify processing problems, potential workarounds, and gaps in tools and technology. Training and integrating new tools, processes, and capabilities for collection orchestration will also be part of the responsibilities, along with providing support for emerging requirements as assigned by the government.

Responsibilities

  • Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
  • Refine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.
  • Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government.
  • Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
  • Conduct extensive collections and analytic modeling, data processing, data mining, and visualization.
  • Conduct gap analysis on existing technologies and processes.
  • Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available.
  • Clearly communicate data-driven findings and automation to technical and non-technical audiences.
  • Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection.
  • Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.
  • Train and integrate new tools, processes, and capabilities to be used in collection orchestration.
  • Provide support for emerging requirements as assigned by the government.

Requirements

  • Active TS/SCI Clearance
  • Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
  • 3+ years of relevant experience with a bachelor's degree (a combination of years of experience & professional certifications/trainings can be used in lieu of a degree).
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