Data Science Specialist

The Data Science Specialist 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

As a Data Science Specialist, 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:
Develop analytics within well-defined projects 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.
Share and discuss findings with team members.

Education Qualification

For roles outside USA:

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

For roles in USA:Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with minimum years of experience 0 years

Desired Characteristics Technical Expertise:
Demonstrated skill in the use of descriptive statistics to assess quality of industrial datasets
Experience applying predictive or prescriptive analytics to industrial applications
Demonstrated awareness of data visualization and storytelling methods for conveying information to stakeholders.

Leadership:
Demonstrated awareness of how to function in a team setting

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