Sr Data Scientist

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 under the minimum guidance of 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 for 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 to work on data science projects under the minimum guidance of senior team members and deliver 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