Pratt & Whitney
aerospace and defense
ASEMethods-DataScience&AnalyticsPrincipalEngineer
Neural analysis suggests this role is
optimal for Principal candidates.
“ASE Methods - Data Science & Analytics Principal Engineer at Pratt & Whitney. Skills: Data Science, Analytics, Machine Learning, Statistical Models, Python, Power BI. development, deployment, and support of machine learning and statistical models. provide forecasting, prediction and prescriptive solutions”
Industry & Context.
solving the world’s most complex problems; provide insights and better decision making; provide predictions and forecasts; provide business insight and enable better data-based decisions
10% Travel, U. S. citizenship is required, Candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
What They're Looking For.
Must Have
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 Have
Experience with Databricks, Experience developing PowerBI/Qlik dashboards, Experience working in an agile environment
What You'll Do.
and support of machine learning and statistical models
prediction and prescriptive solutions
perform analytical studies to provide business insight and enable better data-based decisions
Leverage ASE’s aftermarket data to provide insights and better decision making
deploy and monitor machine learning and statistical models to provide predictions and forecasts
Build Power BI dashboards
Work with the app development team to integrate predictive and prescriptive models into our tools
How You'll Work.
Team & Collaboration
Mentor and train less experienced team members; Collaborate with other team members and stakeholders; Work with the app development team; Software integration and cross-functional collaboration
Communication Scope
Understand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutions
Process & Methodology
Manage time effectively to meet project deadlines
Full Job Description
**Date Posted:** 2026-05-19 **Country:** United States of America **Location:** US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC **Position Role Type:** Remote **U.S. Citizen, U.S. Person, or Immigration Status Requirements: ** U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. **Security Clearance Type:** None/Not Required **Security Clearance Status:** Not Required 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. **What You Will Do :** * Leverage ASE’s aftermarket data to provide insights and better decision making * Define, prototype, test, deploy and monitor machine learning and
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