Job Responsibilities:
National Grid is seeking a self starting, independent thinking Industrial Statistician to work in our vibrant new office building at Reservoir Woods in Waltham, MA. The Reservoir Woods building is a bright, open and functional space, providing a highly collaborative working environment where the successful candidate will experience what it is like to work for one of the foremost investor-owned energy companies in the world.
As part of the Transmission Asset Strategy group you will play a vital role in meeting the Company's objectives. The role provides ample opportunity to interact with a diverse range of people across all aspects of our business.
We are looking for an Industrial Statistician to:
Provide specialist statistical and mathematical support to the Transmission Asset Strategy group
Develop probabilistic risk assessment tools
Develop long-term asset life predictions and replacement models for our transmission assets.
Analyze insitu field data to identify trends and anomalies
Develop probabilistic approaches to optimizing capital expenditures versus risk (from a safety, reliability, or environmental viewpoint or a combination thereof)
Maintain, move and manipulate data between applications using Excel, Access, and other software tools
Analyze and present complex data using statistical computer software and geospatial software (i.e. ArcGIS).
The successful candidate will be directly involved in the development of comprehensive long-term strategies f or a wide range of electrical transmission assets. If you feel you have an innovative approach to problem-solving with a flair for continuous improvement, a work ethic that includes flexibility, teamwork and a willingness to tackle new problems. If you have the skills to build and maintain relationships, a strong track record in working safely and the drive, energy and commitment to deliver against tight timescales - then we would like to hear from you.
Job Qualifications:
Bachelor's Degree required with a concentration in Statistics, Applied Mathematics, or Applied Physics with a statistical background highly desirable. An advanced degree with a specialty in reliability engineering statistics would also be considered.
A minimum of three (3) years of relevant work experience
Experience in applying statistical techniques (such as applying Weibull failure rates to equipment failures) in an industrial setting
Experience with probabilistic risk assessment or probabilistic safety assessment/analysis techniques
Experience with end-of-life or failure prediction modeling using empirical and insitu field data
Demonstrated expertise in using statistical and probabilistic software such as Matlab, SAS Statistical Analysis, Excel macro tools (and/or XLSTAT), Weibull statistical tools, and other specialist statistical software
An innovative approach to problem-solving with a flair for continuous improvement
A work ethic that includes flexibility, teamwork, continuous improvement, and internal and external customer focus
Strong communication and interpersonal skills that build and maintain customer relationships
A strong track record in working safely
A willingness to creatively tackle new problems and not just those you have experienced before
Drive, energy and commitment with a history of delivering to tight deadlines
The ability to deliver tasks effectively both within a team and independently.