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Data Science Manager

2 months ago

Portland, Oregon, United States PacifiCorp Full time
About the Role

PacifiCorp is seeking a highly skilled Data Science Manager to lead our data science group in Portland or Salt Lake City. As a key member of our team, you will be responsible for designing, delivering, and implementing data science strategies and solutions to support our business objectives.

Key Responsibilities
  • Lead the day-to-day activities of the data science team and manage projects and initiatives.
  • Identify opportunities to leverage data science and predictive analytics to solve complex business challenges.
  • Grow, lead, and mentor other data scientists to develop their skills and expertise.
  • Establish and maintain models, tools, methods, and frameworks for highly complex analytical problems.
  • Develop and implement scalable, efficient, automated processes for large-scale data analysis, model development, model validation, and model implementation.
  • Conduct research studies and technical analyses in areas of specialized data science to support company objectives.
  • Work cross-functionally to develop and implement company standards and processes relating to data science and data governance.
  • Lead data science projects, processes, or systems over the life cycle of the project.
  • Provide technical expertise across the business in the area of data science to support functions such as wildfire mitigation, reliability, and risk.
  • Serve as the company expert in the discipline and provide authoritative consultation and recommendations to senior management.
Requirements
  • Bachelor's degree in Engineering, Analytics, Data Science, or Math from an accredited college/university.
  • A minimum of 10 or more years' experience in a power/utility/energy industry or related profession, including experience performing highly technical work of a specialized nature.
  • A minimum of three years of supervisory experience.
  • Demonstrated experience working with Python (or related language) and associated libraries for machine learning.
  • Demonstrated ability to construct and optimize SQL queries.
  • 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.
Preferred Qualifications
  • MS or PhD in quantitative fields.
  • Experience working with public utility commissions (PUCs) and applicable requirements/regulations.
  • Experience with wildfire science or wildfire risk analytics use cases.
  • Experience working in the utilities, risk management, or wildfire mitigation sector.
  • Proficiency with Microsoft Azure Machine Learning environment.
  • Experience with C#, Spark, or R.
  • Experience with time series modeling and forecasting.
  • Experience using ESRI toolsets including ArcGIS Pro and QGIS.
  • Experience utilizing Python geospatial packages such as matplotlib, shapely, and other relevant spatial tools.
  • In-depth knowledge of Bayesian statistics including Bayesian hierarchical modeling.
  • Understanding of the company's business and relevant policies, procedures, and practices.
  • Project Management Professional (PMP) designation.