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Pacificorp Sr. Data Scientist (Asset Management) - Salt Lake City, UT - #104727 in SALT LAKE CITY, Utah

Sr. Data Scientist (Asset Management) - Salt Lake City, UT - #104727

Date:Jan 16, 2021

Location:SALT LAKE CITY, UT, US, 84116



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

The senior data scientist is a member of the Asset Management team, having a critical role in supporting the BHE asset management center of excellence to improve the reliability or availability of assets. The data scientist assists asset managers and specialists in translating asset management use cases into technical and data requirements, and participates in other data and analytics center of excellence initiatives. This individual contributes to model development, model testing, data validation and data integrity efforts in the course of daily work.


  • Serves as a primary contributor to asset management center of excellence and BHE data and analytics initiatives and projects in an analytics model and software development role by defining and clarifying technical project scope, developing technical approach and architecture and performing root cause analysis in support of addressing and correcting data-related issues.
  • Serves as a primary contributor for asset performance mining infrastructure guidance and design principles; accountable for BHE asset performance mining infrastructure configuration. Works closely with asset management analysts to translate business requirements and use cases into technical and data requirements.
  • Extracts, transforms and loads all source system data needed for each model implemented within the asset performance management mining software. Builds asset performance mining data models and monitors and optimizes the performance of all data queries to ensure ideal response times.
  • Communicates priorities, requirements and operational impacts and aligns with manager expectations with affiliate stakeholders in projects and department activities.
  • Maintains daily administration of local data lake and data mining production environments, including scheduling processes, monitoring resources, and performing administrative functions.
  • Documents technical and data requirements gathering and extract, transform, load (ETL) working with IT teams to identify source system tables and fields that need to be brought into the data mining and other software; collaborates with relevant business experts to validate data and system deliverables.
  • Develops data science model, code, ETL and software engineering deliverables in an Agile development activity cycle and performs system analysis, develops use cases, and identifies necessary model/system changes within code based upon specific requirements for the business.
  • Collaborates with vendor(s) on technology and software considerations, advises on adoption and timing of software patches and upgrades, identifies and communicates risks associated with operations with an emphasis on appropriate internal control considerations, supports investigation and remediation of operational issues.


  • Bachelor's degree in computer science, mathematics, software engineering or a related technical field.
  • Masters in data science or related technical field preferred.
  • Five years of related work experience, primarily in a data science, modeling and administration role. Experience with data analytics and/or data mining technologies is a plus.
  • Demonstrated knowledge and experience working with any one of the following is required: Python, R, VenSim, Extend, Arena, Celonis, SSAS, SPSS, MATLAB, SAS/STAT or other advanced operations modeling software related to data science, business intelligence and analytics.  Capabilities in more than one area are a plus.
  • Experience participating in transformation projects and managing a variety of organizational stakeholders and goals. Strong project management skills; ability to prioritize and handle multiple projects concurrently.
  • Effective analytical, problem-solving and decision-making skills to appropriately monitor and manage solutions and data throughout BHE. 
  • Demonstrated ability to understand and utilize computer systems and applications. Strong personal computer skills; proficiency in Microsoft Office. Familiarity with virtual collaboration tools (Microsoft Teams, SharePoint, M365, One Drive, etc.)
  • Experience in process improvement methodologies (Six Sigma, Lean, or other formalized improvement methodologies) is a plus.
  • Experience with asset performance or reliability improvement methods is a plus.
  • Excellent verbal and written communication skills, ability to work with both internal and external stakeholders at various levels throughout the organization. Strong leadership skills, effective interpersonal skills and ability to work independently and as part of a team.


Additional Information

Req Id: 104727
Company Code: PacifiCorp
Primary Location: SALT LAKE CITY
Department: PacifiCorp Corporate
Schedule: Full-time
Personnel Subarea: Exempt
Hiring Range: 107,100 - 126,000

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


At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees. We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential. 


It is PacifiCorp's policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities. In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.


All offers of employment are contingent upon the successful completion of a background check and drug screening

Nearest Major Market:Salt Lake City

Career Segment:Database, Scientific, Manager, Engineer, Scientist, Technology, Engineering, Management, Science

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