Lead Data Scientist - Predictive Maintenance & AI

Textron Inc.; Wichita (KS); On-site; USD 130,000 - 180,000; Full time

Job summary

Textron Aviation is seeking a Senior Data Scientist to join a small, highly motivated team implementing predictive maintenance and connected aircraft solutions for a large Textron Aviation fleet. You will merge large-scale sensor data, parts, and maintenance records using ML, DL, AI, and visualization methods to optimize aircraft availability and maintenance practices.

You will mentor junior data scientists, champion cutting-edge methodologies, and influence enterprise data strategy while

Qualifications

• Bachelor’s degree in a technical field (Applied Math, Stats, CS, Data Science)
• 7+ years in data science, ML, or predictive analytics
• Master’s/PhD preferred in related field
• Aviation experience preferred

Responsibilities

• Support data exploration and predictive analytics.
• Develop ML models for classification, regression, clustering, and time-series analyses.
• Collaborate with analysts to clean data for modeling.
• Document methodologies and promote reproducible research.
• Lead development of predictive models and analytics workflows.
• Mentor junior data scientists and drive cross-functional initiatives.
• Design experiments and causal inference studies to support strategic goals.
• Collaborate with cross-functional teams to integrate models into business processes.

Skills

Python

SQL

Visualization

ML/DL

Leadership

Education

Bachelor's degree

Master/PhD preferred

Tools

Azure ML

MLflow

SageMaker

CI/CD

PyTorch

Job description

Textron Aviation is seeking a Senior Data Scientist to join a small, highly motivated team implementing predictive maintenance and connected aircraft solutions for a large Textron Aviation fleet. You will merge large-scale sensor data, parts, and maintenance records using ML, DL, AI, and visualization methods to optimize aircraft availability and maintenance practices.

You will mentor junior data scientists, champion cutting-edge methodologies, and influence enterprise data strategy while