Lead Data Scientist – Digital Renewables
Location:
Schenectady , New York
Posted:
October 22, 2016
Reference:
2760877
Job Number

2760877

Business

GE Renewable Energy

Business Segment

Renewable Energy OnShore Wind

About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Posted Position Title

Lead Data Scientist - Digital Renewables

Career Level

Experienced

Function

Digital Technology

Function Segment

Data and Analytics

Location(s) Where Opening Is Available United States

U.S. State, China or Canada Provinces

New York

City

Schenectady

Postal Code

12345-6000

Relocation Assistance

No

Role Summary/Purpose

This posting is for a Lead Data Scientist in the GE Digital Renewables organization. The Lead Data Scientist will work as part of a world class team to solve statistical, machine learning, analytical and data mining problems to support the needs of the Digital Renewable businesses including Wind, Solar, and Hydro. This individual will be focused on solving complex technical problems through employing statistical and analytical models to enable productivity, profitability, and growth.

Essential Responsibilities

* Develop advanced analysis algorithms using sensor and

turbine performance data to find patterns and relationships governing the

condition of wind, solar, and hydro components

* Develop and validate analytical concepts that reduce the

LCOE (Levelized Cost of Energy) of wind turbines by improving asset

predictability and performance and driving operational excellence in services

* Develop processes and tools that predict deterioration and

remaining useful life of wind and hydro turbine components

* Work with a cross-function team in complex analytics

projects from idea generation to prototype development

* Work closely with the Systems and Controls teams to

integrate analytics into existing system

platforms and identify gaps and alternative solutions as needed

* Support Big Data initiatives to integrate GE established

solutions into GE Renewables

* Guide and mentor early-career team members on data science techniques and

application to improve turbine design, performance, and maintainability

Qualifications/Requirements

Basic Qualifications:

* Bachelor's degree in Computer Science, Statistics,

Operations Research, Applied Math, Engineering or relevant from an accredited

college or university

* Minimum 5 years of experience with analytics, statistics or

data scienceEligibility Requirements:

* Fundamental knowledge regarding development of algorithms or

analytics

* Fundamental knowledge on statistical and analytical design

and technologies (Python, R, Spark, SQL, SAS JMP, etc.)

* Familiarity in dealing with large time series data sets (Big

Data)

* Proven track record of developing and applying statistical,

probabilistic and machine learning technologies to complex systems

* Creative and innovative mindset

* Strong analytical and problem solving skills

* Proven leadership ability

* Strong ability to communicate analytical results with design

engineers, business leaders, and other stakeholders, highlighting actionable

insights

* Legal authorization to work in the U.S. is required. We will

not sponsor individuals for employment visas, now or in the future, for this

job opening.

Additional Eligibility Qualifications

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.

Desired Characteristics

* Advanced degree (MS or PhD) in Computer Science, Statistics,

Operations Research, Applied Math, Engineering or relevant from an accredited

college or university

* 3+ years of experience with statistical and analytic

programming design and technologies (Python, R, Spark, SQL, SAS JMP, etc.)

* 1+ years of experience with Wind turbine technology, including

control and/or loads simulation of wind turbines

* Proficiency in key statistical techniques (predictive

modeling, logistic regression, decision trees, data mining methods,

forecasting, neural networks and other advanced statistical and econometric

techniques)

* Applied knowledge of many of these machine learning

concepts: supervised/unsupervised learning, regularization, feature selection,

regression / classification, cross-validation, bagging, kernel methods,

sampling, and probability distributions

* Ability to apply the specified technologies in concert with

physical system modeling and simulations to provide classification, diagnosis,

and prediction of system behavior.

* Extensive hands on experience working with very large data

sets, including statistical analyses, data visualization, data mining, and data

cleansing / transformation

* Knowledge about industrial control / SCADA systems

* Entrepreneurial inclination to discover novel opportunities

for applying analytical techniques

* Experience with development projects and project management

* Global mindset with ability to effectively lead within a

matrixed environment

* Strong interpersonal and communication skills#DTR
A little about us:
GE imagination at work.

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