Sr. Data Scientist
GE Aerospace · Posted Nov 4
Commercial and military aircraft engines, propulsion systems, and aviation services
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About the role
The Sr Data Scientist joins GE Aerospace's Data Science & AI team, working in a cross functional team to independently develop and implement artificial intelligence based solutions across disciplines and deliver business outcomes. The team builds modern machine learning, artificial intelligence, statistical & probabilistic methods, operations research, and semantic analysis approaches to find structure in large data sets. The role covers model development, deployment and monitoring in production, data quality and exploratory analysis, and collaboration with data engineers, software developers and functional stakeholders at the John F. Welch Technology Center in Bengaluru.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Ideal candidate should have experience in GEN AI, Python, SQL and cloud platforms
- 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.
Preferred qualifications
- 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, …)
Benefits and support
- Relocation assistance
About GE Aerospace
GE Aerospace is a world-leading provider of jet engines, turboprops, and integrated systems for commercial, military, business, and general aviation. Following the historical transformation and spin-offs of the broader General Electric conglomerate, the company operates as a pure-play aerospace and defense leader. It powers a vast installed base of commercial and military aircraft globally while heavily investing in next-generation propulsion, additive technologies, and sustainable flight.
- Industry
- Aerospace
- Company size
- 57000 employees
- Founded
- 1917
- Location
- Evendale, Ohio, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Rahul Ghai
Senior Vice President and Chief Financial Officer
Mohamed Ali
President and CEO, Commercial Engines & Services
Amy Gowder
President and CEO, Defense and Systems
Christian Meisner
Chief Human Resources Officer
Recent coverage
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