Job Description

Essential Responsibilities:

• Understand business problems and identify opportunities to implement Data Science solutions.

• Design, develop, and implement machine learning and artificial intelligence models and algorithms.

• Understand various business processes pertaining to Analytics Development Process

• Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models.

• Ensure data quality and integrity throughout the data pipeline.

• Conduct experiments to develop model and evaluate model performance and iterate on model improvements.

• Work with Data Engineering teams to deploy data science models into production environments.

• Monitor and maintain deployed models to ensure they perform as expected.

• Work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions.

• Provide technical support and guidance on machine learning-related issues.

• Optimize machine learning models for performance, scalability, and efficiency.

• Implement techniques to improve model accuracy and reduce computational costs.

• Stay up to date with the latest advancements in machine learning and artificial intelligence.

• Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the teams capabilities.

• Maintain comprehensive documentation of machine learning models, algorithms, and processes.

• Ensure knowledge transfer and continuity within the team.

Qualifications/Requirements:

• Masters or PhD degree in Statistics, Machine Learning, Computer Science or related STEM fields (Science, Technology, Engineering and Math) with analytics development experience

• Proficiency in Python (mandatory).

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.

• Ability to work in a fast-paced, dynamic environment.

• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.

• Familiarity with Python web frameworks

Desired Characteristics:

• Influences PBs on their decisions.

• Implements a roadmap.

• Evaluates, down selects, and has awareness of advanced models for deriving new features in relation to the source of data.

• Can fit parameters for complex physics models.

• Develops ongoing hypothesis testing for model validity.

• Runs change point assessments and predictive models to project time series.

• Executes validation reproducibility, and deployment criteria.

• Able to use a variety of approaches (sequential sampling/ experimentation and observational studies) to generate cost-effective and representative samples.

• Understand advanced methods to trade off interpretability vs predictive complexity.

• Can articulate the top pitfalls and misleading graphical representations.

• Proficient with local and distributed operating environments.

• Humble: respectful, receptive, agile, eager to learn

• Transparent: shares critical information, speaks with candor, contributes constructively

• Focused: quick learner, strategically prioritizes work, committed

• Leadership ability: strong communicator, decision-maker, collaborative

• Problem solver: analytical-minded, challenges existing processes, critical thinker

About Us:

GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.www.geaerospace.com

Additional Job Description

Additional Information

Compensation Grade

LPB2