General Purpose

Provides technical support on complex and business critical projects related to wildfire mitigation, asset performance, and T&D Operations across six states. Leverages large quantities of data, such as weather, environmental, outage, vegetation, and grid attributes, to inform long term risk analysis and aid in decision making. Works alongside senior leadership to develop tools and analysis and inform the future of data driven decisions. Develops presentations for senior management and recommends and implements changes to meet company goals. Supports long term grid planning and load forecasting. Contributes to internal training for engineers and technicians in subject area.

Responsibilities for this position include:

• Conduct complex research studies and technical analyses in areas of specialized data science 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 schedules established.
• Provide technical expertise across 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 tool development, and integrate methods and products within and across company software products.
• Participate 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.
• Support data literacy and scripting knowledge development across the team. 

• Strong customer service focus.
• 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. 
• 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. .
• Provide leadership to develop data literacy and scripting knowledge across the team. 

Requirements for this position include the following:

• Bachelor’s degree in Engineering, Analytics, Data Science, Math, or Physics from an accredited college/university.
• A minimum of five years’ 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. 

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. 
• 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.
• In depth knowledge of Bayesian statistics - specifically Bayesian hierarchical modeling.