As a Data Scientist, you will be part of a data science and cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams may typically include statisticians, computer scientists, software developers, engineers, services teams, solution architects, software architects, product managers, and end users, working in concert with partners in GE business units. Potential application areas include, but may not be limited to, remote monitoring and diagnostics across infrastructure and industrial sectors, process and operations optimization and asset management.

In this role, you will:
• Develop analytics within well-defined projects to address customer needs and opportunities.
• Work alongside data scientists, 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.
• Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Computer Science or STEM” Majors (Science, Technology, Engineering and Math) with basic 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, and predictive analytics on industrial datasets
• Demonstrated awareness of using/applying/deploying GENAI in industrial settings
• Demonstrated awareness of Advanced Process Control & Process Optimization in industrial settings

Technical Expertise:
• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration

Domain Knowledge:
• Demonstrated awareness of industry and technology trends in data science
• Demonstrated awareness of customer and stakeholder management and business metrics

Leadership:
• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation skills

Personal Attributes:
• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

Note

This Job Description is intended to provide a high level guide to the role. 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