Mid-Data Scientist
Core
Analyze multidimensional aviation, global supply chain, and operational data to develop and maintain predictive models for the U.S. Government and private sector.
Role type
Mid-level data scientist (statistical modeling & machine learning)
Builds
Predictive and statistical models for operational effectiveness
Domain
Aerospace/Aviation, Supply Chain, Government Contracting
Deliverable
production ML models | dashboards & analysis
Required skills
statistical modeling, supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), time-series analysis, data wrangling, SQL, Python or R, data visualization
Preferred skills
aerospace industry experience, supply chain data systems knowledge, DoD/VA mission support, cloud certifications (AWS/GCP/Azure), LLM/embedding technologies
Technologies
Python, R, SQL, Spark SQL, AWS, Google Cloud, Azure, Hugging Face, BERT, BART
Responsibilities
Develop, evaluate, and maintain predictive and statistical models; Analyze and integrate large, complex datasets from multiple sources; Apply regression, time-series analysis, and machine learning techniques; Assess data quality, provenance, and suitability for modeling; Document data processes, methodologies, and models; Provide guidance on best practices and industry standards across data science and analytics
Seniority
Mid-level, hands-on IC
