Senior Data Scientist (Space Data Insights)

Demonstrable experience in the application of AI/ML methodologies to science and/or engineering disciplines, covering classical statistics-based methods, unsupervised learning, timeseries analysis, deep learning, etc. Hands-on experience developing and deploying supervised and/or unsupervised learning models. Familiarity with object-oriented or functional programming principles. Expertise in at least one high-level programming language (e.g. Python, R, C++, Java). Collaborative source code management and maintenance processes (e.g. Github, code reviews, CI/CD). Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners. Excellent verbal and written technical communication skills. Passion for Space and AI/ML applications. Must be a U.S. citizen willing to obtain and maintain government clearances.

Create and deploy algorithms that integrate with and further the capability of Slingshot products that provide insight into the space operating picture. Lead research and implementation efforts for internal capabilities and contracts that pull useful insights from diverse data streams. Collaborate with other Slingshot teams through the development and provision of useful insights for research, orbital analysis, and other AI systems. Publish and present algorithms and research at approved conferences and journals. Take ownership of projects through the full pipeline, including information gathering from customers, dataset management, algorithm development, and logging and deployment.