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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.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Job Description:

Pratt & Whitney is seeking data science & analytics engineer in our Data science, Systems, 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, statistical models - Weibull 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/machine learning models to provide data-based predictions and forecasts

        Understand and recommend appropriate Data Analytics methods and software solutions

        Prepare and maintain documentation of statistical, forecasting, machine learning 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 8+ year experience) or Advanced degree (with 7+ year experience) in Data Science, Engineering, Mathematics or Statistics

• Experience in statistical methods – Weibull and Monte Carlo simulations

• Experience in Machine learning tools, Python packages, SQL

• Good communication skills and working as a team player

• Possesses excellent judgement and professional maturity

• Strong learner and provides creative solutions

Preferred Qualifications:

• Experience in aerospace domain.

• Experience in Process certification (six sigma, Lean or agile)

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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