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Data Scientist III
2 months ago
PacifiCorp is seeking a highly skilled Data Scientist III to join our Transmission and Distribution team. As a key member of our team, you will be responsible for providing technical support on complex projects related to wildfire mitigation, asset performance, and T&D Operations across six states.
Key Responsibilities- Conduct in-depth research studies and technical analyses to support company objectives and enable Transmission and Distribution Operations.
- Support 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.
- Collaborate with engineering, operations, dispatch, and regulatory teams to analyze complex problems, identify issues, innovate, and deliver solutions consistent with established schedules.
- Provide technical expertise across the business in the area of data science to support functions such as wildfire mitigation and reliability within the T&D Operations organization.
- Develop detailed computational analysis, including data science, computer modeling, and scripting, and integrate methods and products within and across company software products.
- Participate in industry associations or work groups that have the ability to influence or set policy impacting the future of our utility.
- Determine methods and techniques for obtaining results.
- Support data literacy and scripting knowledge development across the team.
- Bachelor's degree in Engineering, Analytics, Data Science, Math, or Physics from an accredited college/university.
- A minimum of five years of experience in a power/utility/energy industry or related professional experience.
- Some experience in Python (or related language) and associated libraries for machine learning.
- Knowledge of SQL query construction and optimization.
- 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.
- Ability to work cross-functionally and support multiple departments.
- Demonstrated leadership and/or project management skills.
- Knowledge of industry best practices for data science and data governance.
- Project Management Professional (PMP) designation.
- Professional Engineering license.
- Master's or Ph.D. in quantitative fields.
- 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.
- Understanding of the company's business and relevant policies, procedures, and practices.