Define analytical strategies to address mission-critical challenges and engage stakeholders, including Army leadership, to align solutions with strategic objectives.
Manage Agile data activities.
Lead the end-to-end development of machine learning models, including problem framing, data preparation, feature engineering, model selection, and evaluation.
Deploy machine learning models into production systems, ensuring scalability, reliability, and integration with existing software platforms.
Collaborate with software engineers and DevOps teams to implement automated pipelines for model deployment and monitoring.
Conduct advanced data integration, modeling, and analysis to extract actionable insights and drive decision-making.
Mentor junior team members and contribute to establishing best practices for AI and machine learning development.
Requirements
Active DoD Secret Clearance required.
Bachelors degree in computer science, engineering, or related field required.
Graduate degree preferred.
10+ years relevant experience.
Expertise in: Logistics and supply chain data
Developing and deploying machine learning models in production environments.
Big data technologies and distributed computing (e.g., Spark, Hadoop).
Data visualization
Programming (Python, Spark, SQL)
Advanced machine learning and analytics techniques (e.g., deep learning, natural language processing, statistical models).
Software development workflows and version control systems (e.g., Git, CI/CD pipelines).
Exceptional communication skills to convey technical findings to non-technical audiences.
Preferred: Palantir Foundry platform experience
Familiarity with secure data handling in DoD IT environments.
Knowledge of US Army Logistics data and mission requirements.
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.