ASE Methods - Data Science & Analytics Principal Engineer; Onsite

Data Science & Analytics Expert

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Aftermarket & Sustainment Engineering (ASE), based in East Hartford Connecticut, is looking for a Data Science & Analytics expert to join our team.

This role will be responsible for the development, deployment, and support of game-changing machine learning and statistical models that provide forecasting, prediction and prescriptive solutions that can be embedded into our software and workflows. In this role, you'll also perform analytical studies to provide business insight and enable better data-based decisions. These solutions will enable Pratt & Whitney to continually push the state of the art in gas turbine engine repairs and reduce the cost of maintaining our parts, components, and engines.

• Leverage ASE's aftermarket data to provide insights and better decision making
• Define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts
• Build Power BI dashboards
• Mentor and train less experienced team members
• Understand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutions
• Work with the app development team to integrate predictive and prescriptive models into our tools
• Collaborate with other team members and stakeholders to identify improvement opportunities
• Manage time effectively to meet project deadlines

• Experience building end-to-end machine learning solutions
• Advanced skills with modern data engineering and analytics platforms
• Practical expertise in applying statistical and ML techniques to real business problems
• Agile and iterative development practices
• Software integration and cross-functional collaboration

• Bachelor's degree in Data Science, Engineering, Software Engineering or Computer Science with 8+ years' experience or a advanced degree with a minimum of 5 years of experience
• 3+ years' of experience building machine learning/statistical models
• 3+ years' of experience developing in Python
• 10% Travel

• Experience with Databricks
• Experience developing PowerBI/Qlik dashboards
• Experience working in an agile environment