Data Scientist

We are seeking a Data Scientist to join our Strategic Support organization. As a Data Scientist, you will be responsible for building relationships with internal clients to understand their goals, processes, and challenges. You will promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs.

Responsibilities:

• Build relationships with internal clients to understand their goals, processes, and challenges
• Promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs
• Fulfil high volume of ad-hoc analytics requests
• Proactively suggest advanced analytics solutions to clients
• Write programs to pull data from various data sources
• Identify, gather, and prepare data for your projects
• Analyze structured (quantitative) and unstructured (text, voice recordings) data
• Develop and deploy machine learning models
• Create dashboards that automatically pull data from various data sources
• Summarize key insights from your analytics projects and provide conclusions and recommendations
• Produce analytics to enhance customer experience, improve energy affordability, and support sustainable growth
• Quantify effect of various programs and initiatives on customer energy usage, call volume, payment behaviors
• Provide insights on how our customers interact with our company across various channels in effort to improve customer service performance, optimize channels and programs
• Enable personalization and communications based on customer data
• Provide analytics to increase enrollment in energy efficiency, renewables, electric transportation, and other programs
• Develop analytics to help grow unregulated net income
• Provide analytics to optimize operations that deliver regulated and unregulated solutions to customers
• Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies
• Continuously learn new data sources, new platforms, and new methods
• Demonstrate curiosity and creativity in the rapidly evolving world of data and AI