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Data Scientist IV

Red Cedar Consultancy, LLCMcLean, VA🇺🇸United StatesPosted 17 Aug 2026

Why This Role Stands Out

This hybrid role offers a dynamic opportunity to develop cutting-edge AI/ML solutions, including GenAI capabilities, for impactful applications that drive data-driven decision-making and process optimization. You'll thrive here if you are a mid-senior data scientist eager to expand your skills in advanced analytics and contribute to innovative projects within a reputable consultancy. Apply now to leverage your expertise and grow your career in a flexible work environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job 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.

Skills

AWS
Machine Learning
NLP
Azure
Databricks
Generative AI

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