ASE Methods - Data Science & Analytics Principal Engineer (Onsite)

RTX•East Hartford, CT

22d•$107,500 - $204,500•Onsite

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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