Top Aerospace Data Science Jobs

The Engineering Data Scientist role involves analyzing aviation safety data, developing predictive models, and communicating safety insights to stakeholders to improve aircraft safety.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

The Analytic Methodologist will design analytic strategies, develop workflows, and create knowledge models to enhance intelligence production regarding national security issues.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

The Senior EO Imagery Analyst will provide geospatial expertise, assess sensor capabilities, and improve data quality for Machine Learning applications.

The Senior Data Scientist at SOSi will apply analytics, statistical modeling, and machine learning techniques to analyze cyber data and build AI/ML models.

SOSi is seeking a Data Scientist to develop AI/ML models, handle petabyte-scale data, and utilize Python and SQL to automate national security tasks.

The Data Scientist will develop predictive models, analyze large datasets, and enhance mission-driven analytics for a DoD customer, using Agile methodologies and integrating data from multiple sources.

As a Data Scientist II, you will develop and integrate AI-ML models, enhance product capabilities through data engineering, and collaborate with teams for analytical solutions.

The Data Scientist will support analytics initiatives, collaborating across functions to build models, map data, and solve business problems using data science techniques.

As a Sr. Data Engineer, you will develop strategies and tools to analyze Starlink's business performance, optimize customer acquisition, and implement data-driven solutions using machine learning.

The Lead Data Scientist designs and deploys data science solutions, leads model development, collaborates with teams, and ensures best practices for data governance and model optimization.