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

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

RTX

5 months ago

3.7 on Glassdoor

Hartford, CT

Onsite

Full Time

Senior

0 applicants

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About this role

RTX's Pratt & Whitney team seeks a Data Science & Analytics expert to develop and deploy machine learning models for forecasting aircraft engine maintenance and prescribing repair solutions. The role involves building Power BI dashboards, leveraging aftermarket data to drive business insights, and integrating predictive tools into engineering workflows to reduce maintenance costs.

Responsibilities

Define and deploy machine learning and statistical models for forecasting
Build and maintain Power BI dashboards for data visualization
Integrate predictive models into engineering software and workflows
Mentor less experienced team members on data analytics methods
Collaborate with stakeholders to identify operational improvement opportunities

Skills

Qualifications

BS in Data Science, Engineering, or Computer Science8+ years of experienceAdvanced degree with 5+ years of experience3+ years building ML/statistical models3+ years developing in Python

About RTX

rtx.com

Headquarters

Arlington, Virginia, United States

Company Size

10001+ employees

Founded

2020

View Profile

At RTX, we're accelerating ideas to solve some of the world's biggest challenges by bringing together the brightest, most innovative minds across aviation, space and defense.