Note: The job is a remote job and is open to candidates in USA. Red Cedar Consultancy, LLC is seeking a Data Scientist IV to support the development and implementation of advanced Artificial Intelligence and Machine Learning capabilities for customer facilities sustainment operations. The role focuses on developing predictive models, AI-powered automation solutions, recommendation engines, and GenAI-enabled applications, dashboards, and business intelligence reports to improve decision-making 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
Skills
- 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
- Candidate education information must include the highest degree earned, field of study, and institution
- Active Secret security clearance is required for this position
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