Remote Machine Learning Data Scientist

Are you ready to launch your career at the intersection of cutting-edge technology and national security? Booz Allen Hamilton is seeking a forward-thinking Machine Learning Data Scientist to join our elite Data & Analytics team in support of critical Space Force operations. In this remote role, you will move beyond theoretical models to build real-world, end-to-end analytic workflows that process complex space-based GEOINT data. You will collaborate with a multidisciplinary squad of cloud architects and mission experts to deploy sophisticated machine learning solutions that provide our operators with an unparalleled decision advantage in an increasingly complex global landscape.

This is a unique opportunity for a driven professional to bridge the gap between advanced data science and mission-focused modernization. You will be empowered to design, validate, and scale models that directly impact space-based intelligence, ensuring you see the tangible results of your code in action. If you are passionate about solving high-stakes challenges, thrive in a collaborative remote environment, and want to help shape the future of space-based analytics, we want to hear from you. Join us at Booz Allen Hamilton, where your contributions will help define the next generation of space dominance.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.