Job Description Summary

The 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

The Data Scientist will work in teams addressing statistical, machine learning and deep learning problems in a variety of application areas. In this role, you will contribute to the development, delivery and deployment of analytic models for finding structure in text, image, video and/or time series data sets.

As a Data Scientist, you will be part of a data science or cross-disciplinary team, typically involving large, complex data sets. These teams typically include software engineers, product managers, subject matter experts and end users, working in concert with partners in GE business units. Potential application areas include finance, commercial pricing, operations, services, and supply chain & manufacturing.

Flexible working is available for data scientist position.

Essential Responsibilities:

In this role, you will:

• Develop analytics within well defined projects to address customer needs and opportunities.
• Work in technical teams in development, delivery, 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.

Basic Qualifications:

• Master’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) plus a minimum 2 years of analytics development for industrial applications in a commercial setting OR a minimum 4 years of analytics development for industrial applications in a commercial setting.
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, Tableau, Jupyter Notebook, Sagemaker notebook)
• 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

Desired Characteristics:

Technical Expertise:

• Demonstrated awareness in cloud platforms and/or cloud native model building
• Demonstrated awareness of feature extraction and statistics
• Demonstrated awareness of analytic prototyping, 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

Additional Information