Data Scientist IV

Red Cedar Consultancy; North Dakota; On-site; USD 140,000 - 190,000; Full time

Job summary

Red Cedar Consultancy in the United States seeks a Data Scientist IV to lead AI/ML initiatives across sustainment operations, building predictive models and GenAI-enabled capabilities to sharpen decision-making and logistics.

You will implement AI-powered automation and dashboards, work with Army sustainment data, and collaborate with SMEs to deliver production-grade analytics while maintaining required security clearances.

Qualifications

• 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.

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

Data Science

Forecasting

Anomaly detection

NLP/GenAI

Optimization

Decision support

Tools

Azure Machine Learning

Databricks

GCSS-Army

NLAC

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.