Senior Engineer - Data Science & Analytics

Location: IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Time Type: Full time

Job Description

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At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

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: 

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 innovative machine learning and statistical models that provide forecasting, prediction, and prescriptive solutions, which can be seamlessly embedded into our software and workflows. These solutions will enable Pratt & Whitney to continually advance the state of the art in gas turbine engine repairs and overhauls, reducing the cost and time required for maintaining our parts, components, and engines. 

Key Responsibilities: 

Collaborate with engineering organization leads to identify opportunities for leveraging data science and analytics to enhance operations. 

Leverage DMRO (Digital Maintenance, Repair, and Overhaul) data to provide insights and enable better decision-making. Build Power BI dashboards to drive key insights for the MRO network. 

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 teams and stakeholders to identify and implement continuous improvement initiatives. 

Take ownership of assigned project milestones, ensuring adherence to schedules and quality standards while following agile/scrum practices. 

Provide guidance to less-experienced professionals and act as a resource for technical expertise where needed. 

Required Qualifications: 

Bachelor’s degree (with 8+ year experience) or Advanced degree (with 7+ year experience) in Data Science, Engineering, Mathematics or Statistics 

5+ years of experience building machine learning/statistical models 

3+ years of experience in SQL or Databricks 

Proficiency in machine learning tools and programming languages such as Python. 

Strong communication skills and the ability to work effectively as part of a team. Familiarity with agile practices, including sprint, scrum, and PI ceremonies, and their application in project execution.  

Demonstrates excellent judgment and professional maturity. 

Quick learner with a creative problem-solving mindset  

Preferred Qualifications: 

Experience in aerospace domain. 

Experience developing PowerBI dashboards 

Experience with Databricks 

Familiarity with agile practices and the role of a Scrum Master. 

Proven ability to bridge the gap between technical expertise and business needs.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project
management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work.

Typically requires: A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience

Engineering/Other Technical Positions: Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

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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