Data Scientist (Secret/Top Secret), Washington D.C.

Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most. Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security. Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here: https://www.youtube.com/watch?v=3PxY6su1Q-Q https://www.youtube.com/@rhombuspower8558/videos https://www.youtube.com/watch?v=Iby5WVNfQiI See the following articles to learn more about what we do: https://www.rhombuspower.com/news-and-media Location Washington, D.C. Job description As a Data Scientist at Rhombus you will work with our Product team. You will design, develop, and launch efficient and reliable data pipelines to move, analyze, and model data and to provide intuitive analytics from Rhombus’ large and complex datasets. A strong systematic mind is a priority, as well as the ability to communicate clearly in multiple technical contexts. The ideal candidate should be passionate about finding insight [... source excerpt omitted ...] data reliability, efficiency, and quality. As we are continually releasing new features and products, the ability to construct elegant system-level data architecture is expected. You will acquire, manipulate, and transform data to breathe life and meaning into arcane holdings, and use your creations to open new doors and opportunities to the customer. An innovative and inquisitive mind is required for success. Responsibilities Discover datasets that could help in solution development Data curation, data evaluation, and data analysis Design, create, and implement quantitative models Validation and quality assurance of data, models and results Deploy and implement solutions [... source excerpt omitted ...] on with product team Interact with the product team on current and upcoming user requirements Responsiveness to customer feedback delivered by product team and responsiveness to customer timelines Systems-level approach to implementation to integrate solutions as part of a larger, interconnected project Qualifications A strong academic background in Statistics, Mathematics, Engineering, or similar degree is highly desired. We prefer candidates to hold at minimum a Masters degree. We have multiple openings! Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow Strong background in database management