Senior Data Scientist (Space Data Insights)

What You'll Be Launching

Your Mission (Should you choose to accept it)

• 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.

Pre-flight Checklist

• AI/ML expertise
• 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
• Software development experience
• 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

Bonus Cargo

• Strong experience with time series data, anomaly detection, and unsupervised learning methods.
• Experience with data management and querying from a variety of database schemas (SQL and No SQL).
• Demonstrated experience developing technical visualizations and analyses
• Experience handling code pipelines end to end, including software engineering, unit testing, documentation, model creation, and deployment and monitoring.
• Experience with cloud processing and environments and big data management and multiprocessing.
• Experience leading projects, working with clients to define requirements lists, and building datasets and tasks to deliver final projects.
• Peer-reviewed publications and/or presentations in a scientific discipline, AI/ML focus preferred.
• 6+ years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains.
• Experience with space and astrodynamics is valuable but not required .
• Qualified for or in possession of an active Top Secret or Top Secret / Secure Compartmented Information clearance level.
• Demonstrated experience leading the development, implementation, and transition of technology to production is desirable.