| Job Number: | 2498344 |
| Business: | GE Power |
| Business Segment: | PWR-DP Distributed Power |
| About Us: | GE Power & Water provides customers with a broad array of power generation, energy delivery and water process technologies to solve their challenges locally. Power & Water works in all areas of the energy industry including renewable resources such as wind and solar; biogas and alternative fuels; and coal, oil, natural gas and nuclear energy. The business also develops advanced technologies to help solve the world’s most complex challenges related to water availability and quality. Numerous products are qualified under ecomagination, GE’s commitment to providing innovative solutions that maximize resources, drive efficiencies and help make the world work better. At GE, developing people is embedded in our culture and integral to our growth. Headquartered in Schenectady, N.Y., Power & Water is GE’s largest industrial business. Follow GE Power & Water on Twitter @GE_PowerWater. |
| Posted Position Title: | Data Science & Analytics Technical Leader |
| Career Level: | Experienced |
| Function: | Engineering/Technology |
| Function Segment: | Applications and Software |
| Location: | Poland |
| U.S. State, China or Canada Provinces: | |
| City: | Warsaw |
| Postal Code: | 02-256 |
| Relocation Assistance: | No |
| Role Summary/Purpose: | The Data Science & Analytics Technical Leader directs novel big data analytics activities to support Distributed Power Predictivity efforts and uses fielded engine & other data to extract knowledge about products and customers. Efforts will derive from a DP strategy co-developed with other business functions and a deep understanding of the gas engine space. The analytics team works closely with DP software organisations responsible for implementing analytics to MyPlant and Predix systems. |
| Essential Responsibilities: | - Execute and maintain functional responsibility advanced analytics & big data,
- Develop & maintain an analytics business strategy in conjunction with other business functions and an understanding of the gas engine space,
- Interface with other GE analytic organizations, Global Research Center, GE Digital, outside suppliers, and others, to understand leading edge technology and how it might apply towards Distributed Power’s strategy,
- Develop, mentor, and manage a team of engineers and scientists across a multi-disciplinary space in distributed power,
- Manage administrative duties of team including reports, metrics, budget and adherence to compliance and safe work practices,
- Partner with Engineering, Digital, Global Research Center, and externally with universities and research institutes to support development of a technology pipeline to strengthen the Distributed Power product portfolio,
- Serve as technical expert in the GE community through demonstrated accomplishments in the field of analytics.
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| Qualifications/Requirements: | - Bachelor’s degree in Engineering, Math or Science from an accredited university (or equivalent in knowledge/experience)
- Strong experience leading technology evaluation and development of advanced algorithms & big data,
- Solid understanding of statistics, machine learning, pattern recognition and related technologies,
- Proven project/program management skills,
- Global mindset with ability to effectively lead remote teams,
- Strong oral/written communication skills, and mature interpersonal/leadership skills,
- The position may require significant travel to global engineering centers, and customer visits.
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| Additional Eligibility Qualifications: | |
| Desired Characteristics: | - Masters or equivalent in Engineering, Math or Science (or quivalent in knowledge/experience),
- Industrial controls system knowledge,
- Equipment operations, service or engineering experience,
- Experience using MATLAB, R, and other simulation/data analysis tools,
- Understanding of industrial Multiyear & Contractual Service Agreements,
- Proven track record of innovation in big data, analytics in power generation and other sectors in industry, finance & telecommunications,
- Strong coaching expertise and success in working across the business functions, other GE businesses, and the global teams,
- Solid business acumen and customer mindset,
- Six Sigma certification (internal candidates).
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