Lead Data Scientist – Aviation Predictive Analytics

Cessna Aircraft Company; Wichita (KS); On-site; USD 110,000 - 150,000; Full time

Job summary

Textron Aviation is seeking a Senior Data Scientist to advance predictive maintenance and connected aircraft solutions. You will merge large-scale time-series sensor data with maintenance records, develop ML workloads, and mentor junior scientists to drive data-driven decisions across the organization.

The role focuses on building models, experimentation, and governance while partnering with cross-functional teams to deploy insights into operations and maintenance practices.

Qualifications

• 7+ years of experience in data science, machine learning, or analytics.
• Experience leading data science projects and mentoring junior data scientists.
• Strong communication and ability to explain technical concepts to technical and non-technical audiences.
• Aviation experience preferred.

Responsibilities

• Develop machine learning models for classification, regression, clustering, and time-series analysis.
• Lead cross-functional collaboration to deploy models into business processes.
• Mentor junior data scientists and lead projects.
• Design experiments and causal inference studies to support strategic initiatives.
• Communicate findings through stakeholder presentations.
• Champion governance, ethics, and model interpretability.

Skills

Python

SQL

Machine learning

Time-series

Data visualization

Cloud platforms

MLOps

Education

Bachelor's degree

Master's or PhD

Tools

Azure ML

MLflow

AWS SageMaker

PyTorch

TensorFlow

Pandas

Job description

Textron Aviation is seeking a Senior Data Scientist to advance predictive maintenance and connected aircraft solutions. You will merge large-scale time-series sensor data with maintenance records, develop ML workloads, and mentor junior scientists to drive data-driven decisions across the organization.

The role focuses on building models, experimentation, and governance while partnering with cross-functional teams to deploy insights into operations and maintenance practices.