Senior Engineer - Data Science & Analytics

RTX
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Teamwork","Judgment","Problem-solving","Agile"]

Develop, deploy, and support machine learning and statistical models that power forecasting, prediction, and prescriptive solutions for Pratt & Whitney’s engine repair and overhaul operations. Collaborate with engineering leaders to leverage DMRO data, build Power BI dashboards, prototype and monitor models, and recommend analytics methods. Manage agile/scrum project milestones and provide technical guidance to less-experienced professionals.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
RTX
RTX
6 hours ago

Senior Engineer - Data Science & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Develop, deploy, and support machine learning and statistical models that power forecasting, prediction, and prescriptive solutions for Pratt & Whitney’s engine repair and overhaul operations. Collaborate with engineering leaders to leverage DMRO data, build Power BI dashboards, prototype and monitor models, and recommend analytics methods. Manage agile/scrum project milestones and provide technical guidance to less-experienced professionals.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate with engineering leaders to identify opportunities for data science and analytics to improve operations.
  • •Use DMRO data to deliver insights and enable better decision-making, including building Power BI dashboards for the MRO network.
  • •Define, prototype, test, deploy, and monitor machine learning and statistical models for predictions and forecasts.
  • •Understand and recommend appropriate machine learning/data analytics methods and software solutions.
  • •Own project milestones using agile/scrum practices and provide technical guidance to less-experienced professionals.

Key Requirements

  • •Bachelor’s degree (8+ years) or advanced degree (7+ years) in Data Science, Engineering, Mathematics, or Statistics.
  • •5+ years building machine learning and/or statistical models.
  • •3+ years experience with SQL or Databricks.
  • •Proficiency in machine learning tools and programming languages such as Python.
  • •Strong communication skills and the ability to work in a team using agile/scrum practices.
Experience:5+ yearsMachine learningAerospace
Education:
Skills:CommunicationTeamworkJudgmentProblem-solvingAgile
Tech Stack:PythonSQLDatabricksPower BIMachine learningStatistical models

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