Staff Data Scientist
Company Name:-
General Electric
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Job Description Summary
The Staff Data Scientist will work in teams addressing statistical, machine learning and data , understanding problems in a commercial technology 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 Staff Data Scientist, you will be part of a data science/software development team on commercially-facing products for power plant customers, typically involving large, complex data sets.
These teams typically include 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, and operations optimization.
In this role, you will:Work with customers to capture data and analytics requirementsDevelop, 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 analyticsGenerate reports, annotated code, and other projects 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
Technical Expertise:Demonstrated skill in data management methodsDemonstrated skill in feature extraction and real time analytics development and deploymentDemonstrated skill in prescriptive analytics and analytic prototyping
Domain Knowledge:Demonstrated skill in one or more industry sectors where GE operatesDemonstrat
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