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The Staff 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, they 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.
As a Data Scientist, you will be part of a cross-disciplinary modeling & data science team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include domain experts, statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE Oil & Gas business units. Potential application areas include remote monitoring and diagnostics across Oil & Gas infrastructure and industrial sectors, and operations optimization.
In the role of Data Scientist you will:Data exploration and model building targeting given CTQs (field issue investigations, developing tracking filters, inspections, root cause analysis, etc.)
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 on data quality assessment and data cleansing
Execute design, analysis and development of assigned projects adhering to business standards, practices, procedures and product / program requirements
Communicate results, findings and observations in clear and concise documents (presentations, reports, technical articles) to peers and program leader in formal / informal reviews
Document technical data generated by the assigned project consistent with engineering policies and procedures
Master's Degree in Statistics, Computer Science, Mechanical or Chemical or Electrical Engineering from an accredited college or university
Minimum 3 years of experience in analytics development for industrial applications in a commercial / industrial setting
Ph.D. in a STEM’ field (Science, Technology, Engineering, Math) from an accredited college or university with a minimum 1 year of experience in analytics development for industrial applications in a commercial / industrial setting
Experience with projects involving Exploratory Data analysis, Pattern Recognition, machine learning
Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Oil & Gas domain knowledge and experience in either upstream, midstream or downstream segments
Experience with end-to-end modeling projects, from research to solutions to analytic products
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
Strong oral and written communication skills
Strong interpersonal and leadership skills and ability to influence others and lead small teams
GE looks for innovation everywhere. For 130 years, GE has been at the forefront of
innovation, but finding solutions to the world's biggest problems has never been more important
than right now. Join us today and become an essential part of the solution! Not just imagining.
Doing. GE works.
Start your career on the right path. href=http://www.youtube.com/watch?v=4EHRyInf3_4>Join our results-oriented team at GE Oil &
Locations: India; Bangalore