Sr Data Scientist

Sr Data Scientist

Job Description Summary

The Sr 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.

Job Description

Roles and Responsibilities

As a Sr 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:
• Stay up to date on new and emerging trends in industry, and develop and provide strategies for adoption to the business
• 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.
• 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 project 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 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 real-time analytics development and deployment
• Demonstrated skill in prescriptive analytics and analytic prototyping

• Demonstrated skill and experience in using latest and emerging trends in LLM models towards solving industrial problems and enhancing existing industrial and manufacturing products

Domain Knowledge:
• Demonstrated awareness of industry and technology trends in one or more sectors where GE operates

• Industrial domain knowledge and experience in manufacturing.

• Demonstrated awareness of customer and stakeholder management and business metrics

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

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

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