Employment Information
Job Description
At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Overview
Boeing is the world’s largest aerospace company and a leading provider of commercial airplanes, defense, space, and security systems, and global services. Building on a legacy of over a century of innovation and leadership, Boeing continues to lead the way in technology and innovation, customer delivery, and investment in its people and future growth of aerospace.
In India, Boeing has been a strong partner to the Indian aerospace and defense sectors for more than 80 years. People at Boeing have been supporting mission readiness and modernization of India’s defense forces, and enabling connected, safer, and smarter flying experiences, in the sky, in the seas, and in space.
Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) in India is leveraging a diverse talented pool of 5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector. These engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets in traditional and emerging areas and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, to enhance quality, safety, and productivity for airline customers, shaping the future of aerospace in India for India, and the world.
People-driven culture
At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.
At Boeing, we are inclusive, diverse, and transformative.
With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.
Boeing Research & Technology (BR&T) is the preferred provider of technologies and innovation across the entire Boeing enterprise. We work across the complete product lifecycle of Boeing’s commercial aircraft, military aircraft, rotorcraft, space vehicles, UAVs, and advanced vehicle prototypes. We provide innovative support for our current and future products and services, act as global scouts for innovative technologies, and solve our customers' most difficult technology challenges. Boeing Research & Technology-India (BR&T-India) is part of Boeing India Engineering & Technology Center (BIETC, based in Bangalore) focused on innovation, and developing and transitioning new technologies in support of Boeing products and services.
The Research & Technology Center team in Bangalore has an immediate opening for an Associate Data Scientist who will develop next generation engineering data analytics methods for aerospace applications. This candidate will participate in projects to support the development of engineering solutions to improve aircraft performance, increase the operational efficiency of aircraft fleet operators, improve/optimize the productivity of Boeing operations and manufacturing, simulate aircraft lifecycle scenarios for potential customers.
Position Responsibilities:
- Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
- Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics, and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products.
- Developing data visualization technique and implement data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau, Power BI.
- Working closely with teams of engineers located in India and in the US. Developing and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
- Documenting results of research and development projects and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.
- Employer will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience):
- Education typically acquired through advanced education (e.g., Bachelor) and typically 5 to 8 years' related work experience or an equivalent combination of education and experience (e.g., Master 4 to 7 years' related work experience.
- Be a self-starter who is not afraid to proactively seek information and direction to successfully complete the statement of work.
- Demonstrate strong written, oral, presentation and interpersonal communication skills. Be fluent in written and spoken English, and familiar with MS Office tools.
- Be self-motivated and able to work independently with a positive attitude and highest ethics.
- Must be able to think proactively and work collaboratively with very strong teaming skills.
- Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world.
- Should have the background to develop statistical, probabilistic and machine learning techniques for complex systems.
- Comfortable with both structured and unstructured data analytics.
- 4+ years of experience in data analytics and machine learning algorithm development and testing
- Demonstrated capability to apply advanced visualization, statistical, and machine learning technologies to complex systems and large data sets.
- Good Working Knowledge of at least one of the following: R/Python/MATLAB
Preferred Qualifications (Desired Skills/Experience):
- Structured and Unstructured data analysis
- Machine Learning
- Data Visualization
- Languages – R/Python
- Typical Education & Experience:
Education typically acquired through advanced education (e.g., Bachelor) and typically 5 to 8 years' related work experience or an equivalent combination of education and experience (e.g., Master 4 to 7 years' related work experience.
Export Control Requirements: Not an export control position
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
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