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.
As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s diverse team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity.
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, andleverage 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 Global Services Digital Solutions team is currently looking for one “Associate Data Scientist” to join their team in Bengaluru, KA . As a Data Scientist, you will be part of the BDAS-India team, which develops software applications and products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies for modern web and mobile application development. Through our products, we deliver innovative solutions to our global customer base at an accelerated pace.
Position Responsibilities:
• As a Data Scientist, the selected individual will engage in architecting Industry first – Airline Disruption Management system employing AI/ML and engineering data analytics methods for aerospace applications.
• The Select candidate shall engage in development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide concrete information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
• The Select candidate shall engage in 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.
• The select candidate will work with cross-functional teams spread across multiple products and locations within Boeing and external partners.
• The select candidate will work in an Agile Scrum team following the best practices on Software Craftsmanship such as Test-driven development and Pair Programming/Peer Reviews.
• The selected individual will be a skilled, highly professional engineer, work collaboratively with an international team comprising software development, product management, and business analysis.
• The selected individual will also be supporting any training plans to help upskill the capability of teams across BDAS
• The selected individual is highly passionate and innovative in solving problems for airline, airspace and airport operations.
• The selected individual may require to provides periodic updates to Boeing management in the form of progress reports, project summaries, and other related documents. This position will also be responsible for coordinating and communicating regularly with experts in Boeing organizations around the world.
• The selected individual may require to travel domestically and internationally, as required.
Employer will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience):
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4 to 6 years of overall work experience in data analytics and machine learning algorithm development and testing.
• Bachelor’s degree or higher in computer science or other closely related fields.
• Must have some degree of knowledge of a variety of mathematical modeling and simulation techniques including Discrete Event Simulation, Agent Based Modeling and Simulation, algorithm development, and numerical techniques.
• Strong interpersonal and communications skills.
• The candidate must be a self-starter with a positive attitude, high ethics, and strong analytical and creative problem-solving skills and, a track record of working successfully under pressure in a time-constrained environment.
• Must be an excellent team player.
Desired Skills (Preferred qualifications):
• Expertise in building and productizing Machine Learning/Deep Learning models.
• Expertise in working with one or more deep learning frameworks like TensorFlow, PyTorch
• Must have programming experience in Python, C++, MATLAB
• Demonstrated capability to apply sophisticated visualization tools like Tableau, Power BI.
Typical Education & Experience:
• Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5 years’ related work experience or an equivalent combination of education and experience (e.g. Master + 4 years’ related work experience.)
Relocation :
• The position offers relocation based on eligibility criteria of candidate
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 (https://www.thevaluable500.com/) 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.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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