2 months ago

Principal Engineer, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)

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Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead data analytics and machine learning initiatives for aerospace engineering datasets, developing predictive models and actionable insights to improve product performance and reliability. Mentor engineers, collaborate with design and reliability teams, and drive digital transformation through ML, data curation, and model-based engineering in a hybrid Aguadilla, PR setting.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead and oversee analysis of engineering and aircraft performance datasets to deliver actionable insights that improve product performance and reliability
•Drive development, training, and validation of ML models with applications in predictive maintenance, service time estimation, and performance forecasting
•Define and standardize validation approaches, acceptance criteria, and performance metrics for analytical and ML models across programs
•Mentor junior engineers in data analytics and ML methodologies to foster technical growth
•Serve as primary technical liaison with engineering discipline owners, design teams, and external stakeholders to address engineering challenges

Travel: Low travel

Pay and Benefits

Perks:Health InsuranceDentalVision401kLife InsuranceDisabilityPaid Leave

Key Requirements

•Degree in Science, Technology, Engineering or Mathematics (STEM) and typically 8+ years of relevant experience, or an advanced degree with at least 5 years of experience
•Proven ability to communicate in English (verbal and written)
•U.S. citizenship is required to access information under the program/contract

Experience:8+ yearsAerospaceEngineeringData analyticsMachine learning

Education:Bachelor's in STEM

Skills:PythonNumPyPandasPySparkTensorFlowScikit-learnSQLTableauPower BIJIRAConfluencePLMModel-based engineering

Languages:English

Tech Stack:PythonTensorFlowScikit-learnNumPyPandasPySparkSQLTableauPower BIJIRAConfluencePLM

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:None/Not Required

Company Brief

RTX

Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Arlington, United States

Founded: 2020

Website

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RTX