Engineer II - Data Science & Analytics

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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.

Innovation through diversity of thought. At Pratt Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.

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

Job Description:

Aftermarket Sustainment Engineering (ASE), based in East Hartford Connecticut, is looking for a Data Science Analytics expert to join our team at the Pratt Whitney India Engineering Center (IEC) in Bengaluru India. This role will be responsible for the development, deployment, and support of game-changing repair/maintenance machine learning and statistical models that provide forecasting, prediction and prescriptive solutions that can be embedded into our software and workflows. These solutions will enable Pratt Whitney to continually push the state of the art in gas turbine engine repairs and reduce the cost of maintaining our parts, components, and engines.

Responsibilities:

• Leverage ASE s aftermarket data to provide insights and better decision making
• Build PowerBI/Qlik dashboards
• Work with experienced engineers to define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts
• Understand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutions
• Collaborate with other team members and stakeholders to identify continuous improvement opportunities
• Manage time effectively to meet project deadlines

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 with Amazon Web Services (AWS)
• Experience developing in Python
• Experience developing PowerBI/Qlik dashboards
• Experience with data text mining
• Strong learner who is comfortable learning new libraries and frameworks
• Experience working in an agile environment
• Good communication skills and working as a team player
• Possesses excellent judgement and professional maturity
• Provides creative solutions

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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