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Red Cedar Consultancy

Data Scientist IV

Red Cedar Consultancy Tysons, Virginia, United States

IT Services and IT Consulting · 51-200 employees

Yesterday
data-scientist Principal (10+ yrs) Full-time United States
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About the role

The Data Scientist IV develops and implements advanced AI/ML models, including predictive analytics, GenAI solutions, and automation tools to support sustainment operations. They are responsible for creating recommendation engines, monitoring model performance, and ensuring compliance with data-governance standards.

What they look for

Artificial Intelligence Machine Learning Predictive Analytics Generative AI Azure Machine Learning Databricks Natural Language Processing Anomaly Detection Data Governance Workflow Automation Recommendation Engines Supply Chain Optimization Fleet Management Business Intelligence SAP ECC Risk Assessment

Requirements

Candidates must have a minimum of 10 years of experience in Data Science with expertise in AI/ML, Azure platforms, and Army sustainment data. An active Secret security clearance is required for this position.

Full description

Job Title: Data Scientist IV

Summary: The Data Scientist IV supports the development and implementation of advanced Artificial Intelligence and Machine Learning (AI/ML) capabilities. The Data Scientist develops predictive models, AI-powered automation solutions, recommendation engines, and GenAI-enabled capabilities to support customer facilities sustainment operations, data-driven decision-making, predictive analytics, process optimization, and operational insights.

Responsibilities:

  • Develop and implement AI/ML models to support predictive analytics, automation, and decision-support capabilities.
  • Develop AI/ML solutions including CoPilot integration, GenAI with OpenAI, AI-powered SAP ECC Search, document information extraction, anomaly detection, equipment readiness forecasting, maintenance and breakdown forecasting, fleet management service automation, and supply forecasting.
  • Develop real-time predictive models for parts availability, personnel allocation, equipment readiness, fleet management, and shop stock requirements.
  • Incorporate adaptive learning techniques using historical and live data to continuously refine model outputs.
  • Develop AI-powered workflow automation tools to streamline sustainment processes.
  • Develop recommendation engines to optimize repair actions, logistics strategies, and resource allocation.
  • Enhance dashboards and applications with GenAI-driven insights for on-the-fly analysis, trend predictions, and natural-language information retrieval.
  • Develop AI-enabled risk assessment models to predict supply-chain disruptions and identify inefficiencies or bottlenecks through anomaly detection.
  • Develop an audit framework for monitoring model performance, detecting bias, and ensuring compliance with Army data-governance standards.
  • Develop AI-powered training and assistance modules, including virtual assistants to support personnel learning and analytics adoption.
  • Develop autonomous decision-making and automation tools for fleet management, maintenance scheduling, procurement, and resource allocation.
  • Develop predictive capabilities for equipment readiness and sustainment drivers.
  • Support automated reordering and replenishment of critical parts and LIN-based items using predictive analytics.
  • Support delivery of fully functional applications, dashboards, and BI reports with AI functionality and Azure architectural support.
  • Support review and validation of dashboards and BI reports with data SMEs and capability developers before production deployment.
  • Provide sustainment support for dashboards and BI reports as needed.

Requirements:

  • Minimum of 10+ years of Data Science experience.
  • Experience with AI/ML, including forecasting, anomaly detection, NLP/Generative AI, and optimization.
  • Experience with Azure Machine Learning and/or Databricks.
  • Experience with Army Sustainment Data, including GCSS-Army, NLAC, and G4.
  • Candidate education information must include the highest degree earned, field of study, and institution.
  • Active Secret security clearance is required for this position.
  • Please confirm if you currently hold any of the following certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate, Power Platform Developer / Solution Architect, Data Science / ML Certification (Microsoft, AWS) or other relevant certifications.

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