Tech Stack

Description

You will develop predictive models and analytical solutions to support AI use cases like investigations support, risk detection, and operational intelligence. You'll work with mission data, partner with data engineers and domain experts, and communicate insights to stakeholders.

Requirements

• 3–5 years hands-on data engineering experience
• 10+ years technical professional experience
• Strong proficiency with Python and libraries like pandas, scikit-learn, PyTorch, TensorFlow
• Experience in exploratory data analysis and feature engineering
• Ability to communicate analytical results to non-technical stakeholders

Responsibilities

• Develop and validate predictive and statistical models for mission use cases
• Design and execute exploratory data analysis to identify patterns and risks
• Build machine learning models for investigations and risk intelligence
• Create analytical features and training datasets with data engineers
• Develop visualizations and analytical products for stakeholder communication