SR. T&D Data Scientist, Portland, OR or Salt Lake City, UT #112797

JOIN OUR TEAM

PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability and diversity, equity and inclusion.

General Purpose

    Provides technical leadership on the most complex and business critical engineering projects related to wildfire mitigation. Facilitates internal training for engineers and technicians in subject area; acts as company subject matter expert. Develops presentations for senior management and recommends and implements changes to benefit the company.  Develops engineering studies, plans, specifications, calculations, evaluations, design documents, and performance assessments associated with the planning, design, licensing, construction, operation, and maintenance of the Company’s generation, transmission, distribution, telecommunication, or other utility facilities/systems.

Responsibilities

•    Independently conduct highly complex research studies and technical analyses in areas of specialized data science to support company objectives and enable Transmission and Distribution Operations. 
•    Work cross-functionally to develop and implement company standards and processes relating to data science and data governance within Transmission & Distribution Operations. 
•    Work effectively with engineering, operations, dispatch and regulatory teams to analyze complex problems, identify issues, innovate and deliver solutions consistent with schedules established.
•    Lead data science projects, processes, or systems over the life cycle of the project, including project identification, scope development, implementation, and long-term operations and maintenance.    
•    Provide technical expertise across business in the area of data science to support functions such as wildfire mitigation, reliability, and risk within the T&D Operations organization. 
•    Ability to coordinate or otherwise support fire data analysis and fire investigations.
•    Serve as the Company expert in the discipline and provide authoritative consultation and recommendations to senior management. 
•    Develop detailed computational analysis, including data science, computer modeling, and scripting and tool development, and integrate methods and products within and across company software products.
•    Actively participate as company lead in government, industry, collegiate and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility.
•    Determine methods and techniques for obtaining results.
•    Provide leadership to develop data literacy and scripting knowledge across the team. 
•    Strong customer service focus.

Requirements

•    Bachelor’s degree in Engineering, Analytics, Data Science, Math, or Physics from an accredited college/university.
•    A minimum of 7 or more years’ experience in a power/utility/energy industry or related profession, including experience performing highly technical work of a specialized nature.
•    Over 3+ years of experience working with Python (or related language) and associated libraries for machine learning.
•    Ability to construct and optimize SQL queries (1+ years’ experience).
•    Exceptional technical writing skills.
•    Ability to communicate complex data in a simple, actionable way through visualizations.
•    Ability to review scientific literature and incorporate knowledge into ongoing projects. 
•    Demonstrated leadership and/or project management skills. 
•    Expert knowledge of industry best practices for data science and data governance.

Preferences

•    Project Management Professional (PMP) designation.   
•    Professional Engineering license.
•    MS or PhD in quantitative fields.
•    Knowledge of applicable federal, state, and local laws regulations and electrical codes.
•    Experience working in the utilities, risk management, or wildfire mitigation sector. 
•    In depth knowledge of Bayesian statistics - specifically Bayesian hierarchical modeling. 
•    Proficiency with Microsoft Azure Machine Learning environment.
•    Experience with C#, Spark, or R.
•    Experience with time series modeling and forecasting.
•    Understanding of the Company’s business and relevant policies, procedures, and practices.
 
 

Additional Information

Req Id: 112797
Company Code: PacifiCorp 
Primary Location: Portland, OR or Salt Lake City, UT
Department: Power Delivery
Schedule:  Days
Hiring Range: $115,900-$136,300 
Personnel Subarea: Exempt
Target Incentive percentage 15.00 

This position is eligible for an annual discretionary performance incentive bonus of up to 15.00% of salary.

Benefits: Health care, retirement, paid time off, tuition assistance, paid short-term and long-term disability, paid bereavement leave. For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en_US

Employees must be able to perform the essential functions of the position with or without an accommodation.

At PacifiCorp, we celebrate diversity, equity and inclusion. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations.