2015-11-28

2391941

**Business**

GE Power

**Business Segment**

PWR\-DIG Digital

**Posted Position Title**

Principal Data Scientist

**Career Level**

Experienced

**Function**

Engineering/Technology

**Function Segment**

Applications and Software

**Location\(s\) Where Opening Is Available**

India

**City**

Bangalore

**Postal Code**

560066

**Relocation Expenses**

No

**Role Summary/Purpose**

The Principal Data Analytics Scientist will guide, lead, and work in 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**

• 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

• Guide junior Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities\.

• Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements

• Guide cross\-functional teams to translate algorithms into commercially viable products and services\.

• Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics\.

• Partner with data engineers on data quality assessment, data cleansing and data analytics efforts

• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes\.

• Communicate methods, findings, and hypotheses with stakeholders\.

**Qualifications/Requirements**

• Ph\.D\. in Engineering/Sciences discipline plus 10 years analytics development for industrial applications in a commercial/industrial setting

• Demonstrated expertise in translating customer need into data and analytics requirements

• Demonstrated expertise in the design, development, verification, and validation of descriptive, applied, predictive, and prescriptive analytics for industrial applications

• Demonstrated expertise in one or more development tools and languages \(e\.g\., R, Python, Spark\)

• Demonstrated expertise in one or more industry sectors where GE operates \(i\.e\., Aviation, Oil & Gas, Power, Transportation, Mining, Healthcare\)

Must be willing to travel at least 10%

Must be willing to work out of an office located in Bangalore, India

**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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