| Job Number: | 2286692 |
| Business: | GE Power |
| Business Segment: | PWR-DIG Digital |
| About Us: | |
| Posted Position Title: | Lead Data Scientist |
| Career Level: | Experienced |
| Function: | Engineering/Technology |
| Function Segment: | Applications and Software |
| Location: | India |
| U.S. State, China or Canada Provinces: | |
| City: | Bangalore |
| Postal Code: | 560066 |
| Relocation Assistance: | No |
| Role Summary/Purpose: | As a Data Analytics Scientist, you will be part of a cross-disciplinary product development team 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 opt |
| Essential Responsibilities: | - Work with customers to capture data and analytics requirements - Develop, verify, and validate analytics to address customer needs and opportunities. - Leverage existing Power & Water teams, and work collaboratively with GE Software, Global Research, and other business entities. - 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. - Evaluate emerging analytics technologies, vendors and provide recommendations to the business. - Communicate methods, findings, and hypotheses with stakeholders. |
| Qualifications/Requirements: | - Master’s Degree in Engineering/Science plus 5 year analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in Engineering/Science plus 1 year analytics development for industrial applications in a commercial/industrial setting - Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) - Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment - Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets - Ability to work in a dynamic environment, large variety of groups, and with team members at global locations - Must be willing to travel to GE global locations & customer sites, typically less than 10% |
| Additional Eligibility Qualifications: | |
| Desired Characteristics: | Technical Expertise:
- Demonstrated skill in data management methods - Demonstrated skill in feature extraction and realtime analytics development and deployment - Demonstrated skill in prescriptive analytics and analytic prototyping Domain Knowledge: - Demonstrated skill in one or more industry sectors of power generation - gas turbines, coal powered, Nuclear, reciprocating engines, wind, solar – power distribution, on-site control systems, & micro-grid operation - Demonstrated skill in defining and delivering customer value Leadership: - Demonstrated skill at working in a team setting - Demonstrated skill in critical thinking and problem solving methods - Demonstrated skill in presentation and influencing skills Personal Attributes: - Demonstrated awareness of how to succeed in ambiguous circumstances |
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Lead Data Scientist Job (Bangalore, India)
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