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Staff Industrial Data Scientist
3 months ago
Job Description Summary:
The 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, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Roles and Responsibilities
In this role, you will:
- Work with customers and various internal and external stakeholders 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.
- 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 project artifacts to document, archive, and communicate your work and outcomes.
- Communicate methods, findings, and hypotheses with stakeholders.
Education Qualification
Masters Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.
Desired Characteristics
- Demonstrated skill in the use of one or more analytic software tools or languages (minimum: Python, optional: R)
- Demonstrated skill at data cleansing, data quality assessment, 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 at data visualization and storytelling for an audience of stakeholders
- Experience in using/applying/deploying GENAI in industrial settings
- Experience with Advanced Process Control & Process Optimization in industrial settings
Technical 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
Domain Knowledge:
- Demonstrated skill and experience in one or more industry sectors where GE operates.
- Industrial domain knowledge and experience in manufacturing.
- 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
However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
Additional Information:
Relocation Assistance Provided:
Yes