Principal Data Scientist - Digital MRO (On Site)

RTXEast Hartford, CT
Onsite

About The Position

The Aftermarket & Sustainment Engineering (ASE) Technology organization is seeking a talented Principal Data Scientist to support the Digital Maintenance, Repair, and Overhaul (DMRO) program. This program is empowering teams across the business to make better decisions informed by fielded part inspection data and the application of cutting-edge data and AI/ML technologies. As a Principal Data Scientist, you will play a key role in developing and delivering game-changing data-centric capabilities and products. You will be responsible for supporting the complete lifecycle of data-driven solutions, from the discovery and connection to cross-functional data sources, Extract-Transform-Load (ETL) workloads for data capture and management, and Analytics and AI/ML product development to discover trends, predict part distress, and maximize business impact for our end users.

Requirements

  • Bachelor's Degree and 8+ years of exp or an Associates Degree and 10+ years of exp in developing in Python (NumPy, Pandas, scitkit-learn) for statistical or machine learning applications.

Nice To Haves

  • Experience with Databricks
  • Experience with database technology such as SQL or NoSQL
  • Experience developing PowerBI/Qlik dashboards
  • Experience or familiarity with AI/ML technologies, including GenAI/LLMs
  • Experience working in an agile environment

Responsibilities

  • Develop robust and scalable data integration and ETL pipelines to capture aftermarket part-level inspection data and connect to various cross-functional data sources.
  • Architect and develop foundational data lake and data warehouse workspaces in partnership with enterprise stakeholders to meet scalability and security requirements.
  • Design and build data models and data pipelines to integrate data and deliver curated VAULTIS-compliant data products for the enterprise.
  • Define, prototype, test, deploy, and monitor machine learning and statistical models to provide analytic and predictive capabilities for critical engineering use cases.
  • Build and maintain Power BI analytics dashboards.
  • Explore, prototype, and apply cutting-edge AI technologies, including GenAI/LLM technologies, to transform how our data is captured and utilized.
  • Collaborate with the DMRO software development teams to define and deliver end-to-end data-centric products for engineering, including integration of data-based models and analytics in our software applications.
  • Collaborate with other team members and key stakeholders to identify product and technology improvement opportunities.

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays
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