Principal Data Scientist - Digital MRO (On Site)

RTX
United States
Workplace: OnsiteFull timeUSD 107,500 - 204,500 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: []

Develop and deliver data-centric capabilities for the Digital Maintenance, Repair, and Overhaul (DMRO) program by building scalable data integration and ETL pipelines from aftermarket part inspection data. Create foundational data lake/warehouse workspaces, design VAULTIS-compliant data products, and develop machine learning and statistical models to predict part distress. Build Power BI analytics dashboards and apply GenAI/LLM technologies while partnering with software teams to embed analytics into engineering products.

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FursaFursa
RTX
RTX
6 hours ago

Principal Data Scientist - Digital MRO (On Site)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop and deliver data-centric capabilities for the Digital Maintenance, Repair, and Overhaul (DMRO) program by building scalable data integration and ETL pipelines from aftermarket part inspection data. Create foundational data lake/warehouse workspaces, design VAULTIS-compliant data products, and develop machine learning and statistical models to predict part distress. Build Power BI analytics dashboards and apply GenAI/LLM technologies while partnering with software teams to embed analytics into engineering products.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and deliver data-centric capabilities for the DMRO program using aftermarket part inspection data and data/AI-ML technologies.
  • •Build robust, scalable data integration and ETL pipelines to capture inspection data and connect cross-functional data sources.
  • •Architect and develop data lake and data warehouse workspaces with scalability and security requirements.
  • •Design data models and pipelines to deliver curated VAULTIS-compliant data products for enterprise users.
  • •Define, prototype, test, deploy, and monitor machine learning and statistical models; build and maintain Power BI dashboards and explore GenAI/LLM approaches.

Pay and Benefits

Salary: USD 107,500 - 204,500 annually
Perks:MedicalDentalVisionLife Insurance401kLong-term DisabilityFlexible SpendingRemote WorkLearning BudgetParental LeavePaid LeaveHolidays

Key Requirements

  • •Bachelor's Degree and 8+ years of experience developing in Python (NumPy, Pandas, scikit-learn) for statistical or machine learning applications.
  • •OR an Associates Degree and 10+ years of experience developing in Python (NumPy, Pandas, scikit-learn) for statistical or machine learning applications.
  • •Experience with Databricks.
  • •Experience with database technology such as SQL or NoSQL.
  • •Experience developing PowerBI/Qlik dashboards, including familiarity with AI/ML and GenAI/LLMs in an agile environment.
Education:Bachelor's
Tech Stack:PythonNumPyPandasScitkit-learnScikit-learnDatabricksSQLNoSQLPower BIQlikETLData lakeData warehouseMachine learningAI/MLGenAILLMPowerBIVAULTIS

Eligibility

Nationality:US National
Work Authorization:Authorization required. Sponsorship not provided.

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