Role Summary :
The Sr. Data scientist will work in teams addressing statistical and machine learning problems in supply chain / engine services / commercial technology or consultancy development environment.
In this role, you will contribute to the development and deployment of modern machine learning, statistical methods, operations research, semantic analysis for finding structure in large data sets.
Essential Responsibilities :
The Sr. Data Scientist will be a part of data science or cross-disciplinary team on supply chain / engine services / commercial technology / consultancy development projects typically involving large, complex data sets.
These teams typically include statisticians, computer scientists, software developers, engineers and end users working in concert with partners in GE business units.
Develop data science models to address customer needs and opportunities. 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 :
Desired Characteristics :
Experience in working on analytics / software on supply chain / airline operations