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Engineer II - Data Science & Analytics

Reposted Yesterday
3 Locations
Junior
3 Locations
Junior
The Engineer II - Data Science & Analytics role involves leveraging data to provide insights and improve decision-making within engineering teams. Key responsibilities include developing statistical models, collaborating on tool development, and analyzing Quality Nonconformance data. The engineer will work autonomously, guiding less experienced professionals and taking ownership of deliverables.
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Date Posted:

2025-03-04

Country:

India

Location:

North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka  560064

Position Role Type:

Unspecified

Engineer II - Data Science & Analytics

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

Job Description:

Pratt & Whitney is seeking data science & analytics engineer in our Data science, Analytics & Methods team at the Pratt & Whitney India Engineering Center (IEC) in Bengaluru India.  The role will span working with multi-disciplinary organizations including system level, module level and component level across the product life cycle.  Main responsibilities include providing insights from existing engine data and delivering data-based decisions using forecasting models that can be embedded in our current workflows.

Key Responsibilities:

  • Work with engineering organization leads to
    • Leverage data collected on development and fielded engines to provide insights and better decision making
    • Identify gaps in current data-based processes and tools and provide direction for tool development team
    • Define, prototype, test, deploy and monitor statistical models to provide data-based predictions and forecasts
    • Understand and recommend appropriate Data Analytics methods and software solutions
  • Analysis and Development to be performed on Quality Nonconformance (QN) data in order to establish, opportunities, trends and forecasts  
  • Prepare and maintain documentation of forecasting methods and tools
  • Collaborate with other methods and tool team members and stakeholders to identify continuous improvement opportunities
  • Works autonomously with limited oversight & may provide guidance to lower experienced professionals with tasks and assignments.
  • Exhibit the ownership for the defined milestones in terms of schedules & quality of deliverables

Required Qualifications:

  • Bachelor’s degree (with 4+ year experience) or Advanced degree (with 2+ year experience) in Data Science, Mathematics, Engineering or Statistics.
  • 2+ years of experience in SQL.
  • 2+ years of experience building machine learning/statistical models.

Preferred Qualifications:

  • Experience in Aerospace domain.
  • Experience developing in Python.
  • Experience developing PowerBI/Qlik dashboards.
  • Experience with data & text mining.
  • Experience with Amazon Web Services (AWS).
  • Experience working in an agile environment.
  • Good communication skills and working as a team player.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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