Lead Data Scientist

Job Description

Boeing India Engineering & Technology Center (BIETC) is based in Bangalore, India and is engaged in the development and support of advanced aerospace and aviation technologies, products, and services. Boeing Research & Technology (BR&T) India is part of Boeing India Engineering & Technology Center (BIETC), and is focused on innovation, and developing & transitioning new technologies in support of Boeing products and services. We work across the complete product lifecycle of Boeings 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. The Boeing Research & Technology India team has an immediate opening for a Lead Data Scientist . The selected individual will develop next generation AI/ML and engineering data analytics methods for aerospace applications . He/She/They will co-lead or 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. In addition, the candidate will support senior members of the team in developing future vision and direction of Boeings Research and Technology development in the field of Artificial Intelligence, Machine Learning, image/video processing, NLP, data analytics and their application to diverse areas relevant to Boeing. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position will report to the Manager - AI, Analytics & Automation . This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. 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 & collaboratively with an international team comprising software development and research engineers. Develop and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools & technology and perform Proof-of-concepts. 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. Most importantly, have a research mindset to explore & innovate into new areas. Drive creation of intellectual property, publish papers in leading journals & conferences, collaborate with the global scientific community & academia and create & present technology development breakthroughs within & outside the Boeing community. Basic Qualifications (essential requirements a candidate MUST have to qualify for the position): PhD in Computer Science, Computer Engineering or related discipline. Candidates who are pursuing their Doctorate degree are also welcome to apply. 5 years of overall work experience in data analytics and machine learning algorithm development and testing. Excellent presentation & communication skills : Demonstrate strong written, oral, presentation and interpersonal communication skills. Be fluent in written and spoken English, and familiar with MS Office tools. Strong research background in innovating & developing technologies & solutions thru data science & analytics (desired). Desired Technical Skills: Track record in performing and leading research & development of highly innovative AI-driven solutions for difficult problems. Expertise in building and productizing Machine Learning/Deep Learning models. Expertise in working with one or more deep learning frameworks like TensorFlow, PyTorch. Experience with image preprocessing techniques, such as noise removal and edge detection. Experience in working on graph databases & connected knowledge bases. Experience with rigid object recognition and tracking. Must have programming experience in Python, C, MATLAB. Demonstrated capability to apply advanced visualization tools like Tableau, Power BI. Be a self-starter who is not afraid to pro-actively seek information and direction to successfully complete the statement of work. Be self-motivated and able to work independently with a positive attitude and highest ethics. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Relocation: This position offers relocation. 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 color, 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 worlds most innovative, diverse and inclusive companies. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Monster