Job Information
RTX Corporation Senior Engineer - Data Science & Analytics in Bangalore, India
Date Posted:
2024-08-22
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
Senior Engineer - 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.
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:
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
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 8+ year experience) or Advanced degree (with 7+ year experience) in Data Science, Engineering, Mathematics or Statistics
Experience in statistical methods
Experience in Machine learning tools, Python packages, SQL, Power BI/Qlik
Experience with data mining
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 cloud computing, AWS
Experience in Process certification (six sigma, Lean or agile)
RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Privacy Policy and Terms:
Click on this link (http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice) to read the Policy and Terms
Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.