Senior Data Scientist – Customer Experience

Honeywell Aerospace products and services are found on aircraft across commercial aviation, defense and space. We operate through three business areas: 

• Electronic Solutions develops the avionics, navigation systems, sensors and electromagnetic defense technology on board 90% of the world's aircraft 
• Engines & Power Systems provides the propulsion, auxiliary power and electrical systems that keep those aircraft flying 
• Control Systems supplies the thermal and motion control systems that support takeoff, landing and the safety of everyone on board

With approximately 58,000 employees worldwide and net sales of $17.4B in 2025, we are also advancing systems for autonomous and supersonic platforms — bringing the same focus on safety and efficiency to the next era of flight. Explore our businesses: https://www.honeywellaerospace.com

Advanced Modeling & Analytics Leadership

• Design, build, and deploy advanced analytical and machine learning solutions for CX and product support use cases
• Lead complex modeling efforts (e.g., predictive risk, outcome forecasting, driver analysis, optimization)
• Evaluate emerging AI and ML techniques for practical application within a regulated enterprise environment

Technical Direction & Mentorship

• Provide technical mentorship and review for other data scientists
• Establish best practices for modeling, experimentation, documentation, and validation
• Influence analytic standards across CX-focused data science initiatives

Partnership & Translation

• Partner with Senior Business Data Analysts & Data Engineers to translate business problems into analytically robust approaches
• Communicate complex analytical results clearly to non-technical stakeholders
• Support executive and senior leader understanding of predictive and AI-driven insights

Data & Platform Collaboration

• Collaborate with Data Engineers to ensure data pipelines, feature stores, and ML workflows are fit for purpose
• Contribute to AI-enabled self-service analytics and React-based front-end experiences where appropriate

• Master’s degree or higher in Data Science, Applied Mathematics, Statistics, Engineering, or related field (or equivalent experience)
• 9+ years of hands-on experience in data science or advanced analytics roles
• Expert proficiency in Python and strong SQL capabilities
• Proven experience building and validating ML models in enterprise environments
• Experience working with Snowflake, EDW, and complex enterprise data sources

Preferred Qualifications

• Prior experience leading analytics efforts in CX, service operations, or B2B environments
• Exposure to AI prototyping, model deployment, or ML platform integration
• Experience operating under regulatory, security, or government data constraints