Beehive Industries
Head of Data Science & Machine Learning
Loveland, OhiounknownUSD 202
Skills
Advanced degree (PhD or Master’s) in Computer Science, Data Science, Engineering, Applied Mathematics, or related field7+ years of applied data science and machine learning experience, preferably in aerospace, defense, or safety-critical industriesSQL/Python/Typescript or equivalentProven track record of delivering AI/ML solutions from prototype to production in complex industrial environments using Agile methodologiesStrong expertise in ML frameworks (ex: TensorFlow, PyTorch, scikit-learn), data pipelines, and MLOps practicesFamiliarity with aerospace digital engineering, digital twin, and model-based systems engineering (MBSE)Strong communication and storytelling skills to influence senior leadership and technical peers without direct authority
About the role
Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost. Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role will be located at our Loveland, Ohio facility. Role Overview The Head of Data Science & Machine Learning will lead the company’s enterprise-wide efforts to unlock the value of data in aerospace design, manufacturing, operations, and business development. This role is responsible for building and scaling a high-performing dat
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