Staff Data Scientist (E4)

Job Description SummaryThe Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning and AI models according with the business needs and strategy

Job Description

Roles and Responsibilities

As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:
• Work with customers to capture data and analytics requirements
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially 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 analyses 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 your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.

Education Qualification

Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired CharacteristicsTechnical Expertise:
• Demonstrated skill in data management methods
• Demonstrated skill in feature extraction and realtime analytics development and deployment
• Demonstrated skill in prescriptive analytics and analytic prototyping

• Demonstrated skill in AI models and Cloud compute showing knowledge how GenAI can be implemented

Domain Knowledge:
• Demonstrated skill in one or more industry sectors where GE operates
• Demonstrated skill in defining and delivering customer value

Leadership:
• Demonstrated skill at working in a team setting
• Demonstrated skill in critical thinking and problem solving methods
• Demonstrated skill in presentation and influencing skills

Personal Attributes:
• Demonstrated awareness of how to succeed in ambiguous circumstances

Additional Information

Relocation Assistance Provided: No