Senior Data Scientist, Slingshot Aerospace

• 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
• These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed - if your skills are transferable and you meet the minimum requirements, we encourage you to apply

Desirable

• In this role, you will join the Space Data Insights team within Slingshot’s AI and Data Science department
• You will contribute directly to Slingshot’s vision to accelerate space sustainability and create a safer, more connected world
• You will develop and deploy AI and ML analytics that contribute to Slingshot’s mission goals by leveraging diverse data streams and smart approaches to increase transparency into the space environment
• 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
• Classification: Full-time Exempt (computer professional exemption)