Apply on Employer Site

Beehive Industries · 3 months ago

Director, Data Science and Machine Learning

Loveland, OH

Full-time

Onsite

Director/Executive

7+ years exp

Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. 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.

Advanced MaterialsAerospaceManufacturing

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Define and execute the company’s data science and ML strategy in alignment with Digital Office transformation objectives

Champion and influence the use of AI/ML across engineering, manufacturing, and operations to drive competitive advantage

Act as the technical authority on data innovation, advanced analytics, and responsible AI

Build and lead a multidisciplinary team of data scientists, ML engineers, and data analysts

Establish best practices for model development, deployment, and monitoring

Develop workforce training programs to upskill teams in AI/ML adoption

Design, develop, and deploy ML models for use cases such predictive maintenance, quality assurance automation, digital twin optimization, and supply chain resilience

Oversee development of scalable ML pipelines and integration from model-based design to engineering systems and ERP/MES platforms

Partner with product engineering teams to embed ML models into aircraft design and manufacturing processes

Build production-ready ML pipelines, ensuring reliability, scalability, and security in aerospace environments

Conduct exploratory data analysis and applied research to uncover opportunities for operational efficiency and innovation

Ensure compliance with aerospace and defense standards (NIST, DoD, FAA, ITAR)

Define frameworks for data governance, ethics, and explainability in AI/ML applications

Partner with IT to manage intellectual property and data security considerations for sensitive defense and aerospace programs

Partner with engineering, operations, and IT leaders to align ML initiatives with business priorities

Engage with customers and government partners to translate mission requirements into data-driven solutions

Partner with external academic, industry, and defense labs to accelerate innovation

Facilitate workshops and proof-of-concept efforts to demonstrate AI/ML value

Qualification

Data ScienceMachine LearningAI/ML StrategyML FrameworksSQLPythonAgile MethodologiesData PipelinesMLOps PracticesCommunication SkillsStorytelling SkillsCollaboration Skills

Required

Advanced degree (PhD or Master's) in Computer Science, Data Science, Engineering, Applied Mathematics, or related field

7+ years of applied data science and machine learning experience, preferably in aerospace, defense, or safety-critical industries

SQL/Python/Typescript or equivalent

Proven track record of delivering AI/ML solutions from prototype to production in complex industrial environments using Agile methodologies

Strong expertise in ML frameworks (ex: TensorFlow, PyTorch, scikit-learn), data pipelines, and MLOps practices

Familiarity 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

The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance