Data Analytics Scientist

Jebel Ali,
06 Oct 2016
25 Oct 2016
Oil and Gas
Contract Type
Full Time
The Senior Staff Data Analytics Scientist will work in and lead teams as technical domain expert 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.

Essential Responsibilities

As a Senior Staff Data Analytics Scientist, 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:
• Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
• Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Leverage existing P&W teams, and partner with GE Software, global research, and other business units.
• Work as part of a cross-functional team 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.
• Communicate methods, findings, and hypotheses with stakeholders.


• Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting
Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) plus 3 year analytics development for industrial applications in a commercial/industrial setting
• Demonstrated expertise in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
• Demonstrated expertise in data visualization and storytelling to translate complex data into customer insight
• Demonstrated expertise in modeling, feature extraction, and the development and application of descriptive, applied, and predictive analytics on industrial datasets
• Demonstrated expertise in data science technology and industry trends
• Ability to influence in dynamic environment and across teams in multiple/global locations

Desired Characteristics

Technical Expertise:
• Demonstrated skill in data management methods and analytic scaling
• Demonstrated skill in prescriptive analytics and analytic prototyping
• Demonstrated skill in solutions integration
Domain Knowledge:
• Demonstrated skill in one or more industry sectors of power generation - gas turbines, combined cycle plants, coal powered, reciprocating engines, wind, solar, - power distribution, control systems, & micro-grid
• Demonstrated skill in defining and delivering customer value

• Demonstrated expertise working in team settings in various roles
• Demonstrated expertise in critical thinking and problem solving methods
• Demonstrated expertise in presentation and communications skills

Personal Attributes:
• Demonstrated skill in serving as a change agent
• Demonstrated skill in working in ambiguous environments