Job Description Summary The Sr Data Scientist will work in a cross functional team to independently develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace, with minimal guidance from senior team members, to deliver business outcomes. In this role, as part of the Data Science & AI team, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical & probabilistic methods, operations research, semantic analysis etc. for finding structure in large data sets. This role requires a good technical background, strong problem-solving skills, functional domain expertise, the ability to work collaboratively with stakeholders from different functional and business teams to develop and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing Role Overview The Sr Data Scientist will be responsible for working on data science projects with minimal guidance from senior team members and delivering business outcomes. Key responsibilities include – Understand business problems & processes and develop & implement data science models, including artificial intelligence and machine learning. Work alongside data scientists, data engineers, software developers, program managers, product owners, and functional stakeholders to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of artificial intelligence, machine learning, applied analytics, predictive analytics, and prescriptive analytics ensuring data quality and integrity throughout the data pipeline. Perform exploratory and targeted data analysis using descriptive statistics and other methods (including collecting, preprocessing, and analyzing large datasets to be used for training and testing machine learning models) Understand various business & functional processes pertaining to Analytics Development Process Work with cross functional teams to develop & deploy data science models into production environments and monitor & maintain deployed models to ensure they perform as expected. Develop domain expertise and develop and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. Optimize machine learning & artificial intelligence models for performance, scalability, and efficiency. Be aware of latest advancements in machine learning and artificial intelligence. Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the team's capabilities. Maintain comprehensive documentation of machine learning models, algorithms, and processes. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate: Ideal candidate should have experience in GEN AI, Python, SQL and cloud platforms Required Qualifications & Experience: M.Tech / M.E. / M.S. or an equivalent Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Applied Statistics or a related STEM fields (Science, Technology, Engineering and Math) with significant analytics development experience Proficiency in Python (mandatory) & SQL and familiarity with Python web frameworks. Demonstrated skill and hands-on experience of implementing GenAI solutions (including fine-tuning, prompt engineering, and leveraging pre-trained models). Familiarity with cloud platforms (e.g., AWS, Azure, Databricks etc.) and their AI/ML services. Demonstrated skill in data quality assessment, data cleaning, pre-processing, post-processing and using analytics for data assessment Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Demonstrated skill in the use of artificial intelligence, machine learning and applied analytics (statistical & probabilistic) methods for solving business problems. Demonstrated skill in data visualization and storytelling for an audience of stakeholders. Demonstrated awareness of customer and stakeholder management and business metrics Has a basic understanding & awareness of GE Aerospace business and how the solutions they are developing create value. Desired Characteristics: Demonstrates strong analytical and problem-solving mindset and skills. Demonstrated awareness of how to operate in a cross functional team setting. Excellent communication and interpersonal skills. Demonstrated awareness of presentation and influencing skills Ability to work in a fast-paced, dynamic environment. Understanding of latest technology advancements in AI Influences within working team & peer group. Soft Skills: Change Agent, Collaboration, Comfort in Ambiguity, Communication, Consulting, Curiosity/Creativity, Decision Making & Risk Management, Influence, Problem Solving Develops, Implements & Owns component(s) of the roadmap. Evaluates, down selects, and has awareness of advanced models for deriving new features in relation to the source of data. Can use basic scripting tools to handle/read/retrieve/view different unstructured data types Determines algorithms and pipelines needed to detect data errors and applies procedures for data quality assessment. Performs missing data imputation/outlier removal/multicollinearity by using established GE techniques and domain knowledge. Develops and improves models, performs trade-off analysis. Applies at least one modeling approach for the prevalent data types. Can run and interpret black-box algorithms to build models (random forests, neural networks, …) Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. This Job Description is intended to provide a high-level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. Additional Information Relocation Assistance Provided: Yes At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.

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