The Data Scientist/Engineering Staff is responsible for supporting Engineering Staff, Operations and Information Services applications relating to Distribution and Transmission Integrity, Pipeline Safety Management System, Geographic Information System (GIS), and budgeting software programs. Develop, test and validate hypotheses through the application of a range of advanced mathematical, statistical, scientific and/ or computational techniques. Utilizing a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. The incumbent is also responsible for identifying business needs; planning, executing and delivering machine learning-based projects. The majority of the incumbent’s work will be in management and problem analysis, machine learning (ML) modelling, data exploration and preparation, operational analysis, developing standards and overseeing their implementation; identifying and evaluating solutions and tools to improve operational efficiency and integration with other Company applications utilizing available data; providing technical support, analysis, and recommendations to System Integrity (SI). POSITION DIMENSIONS This position does not have accountability for people. In this position, the incumbent must provide innovative thinking and creativity and be able to collaborate with functional organizations throughout the Company. QUALIFICATIONS There are clear policies and procedures that the incumbent uses to determine how this job is performed. This position requires a bachelor’s degree in computer science, data science, operations research, statistics, applied mathematics, economics, engineering or physics, or a related field from an accredited university. This position also requires a minimum of four years of relevant work experience, or equivalent combination of education and experience sufficient to successfully perform the essential job responsibilities. Knowledge and abilities must include computer and network concepts and strategies, cognizance of information technology business practices to support Company policies and initiatives. Good oral and written communications skills are required.
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Job Type
Full-time
Career Level
Mid Level