Job Description
GE Aerospace
Data Science Specialist
Full-Time
Bangalore , India
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.
Any Degree
Freshers
The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Company OverviewWorking 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 OverviewEstablished 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 OverviewThe Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include –Development of data science models.Work alongside software developers and software engineers to translate algorithms into viable products and services.Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analysis using descriptive statistics and other methods.Work with data engineers on data quality assessment, data cleansing and data analytics.Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes.Share and discuss findings with team members.Qualifications / Requirements:Masters or PhD degree in Statistics, Machine Learning, Computer Science or related fieldProficiency in Python (mandatory).Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problemsDemonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasetsDemonstrated skill at data visualization and storytelling for an audience of stakeholdersStrong communication and interpersonal skills
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