The Data Scientist (AI/ML) leverages advanced analytics, statistical modeling, machine learning, and artificial intelligence techniques to drive data-informed decision-making across the organization. This role partners with business leaders, functional teams, and technology stakeholders to identify opportunities, solve complex business problems, and develop scalable analytical solutions that create measurable business value.
The Data Scientist is responsible for the full data science lifecycle, including data acquisition, exploratory data analysis, feature engineering, model development, validation, deployment support, performance monitoring, and continuous improvement. This position applies predictive and prescriptive analytics, machine learning methodologies, and AI technologies to uncover insights, optimize business processes, improve operational performance, and support strategic initiatives.
In addition to traditional machine learning techniques, the role contributes to the organization's AI strategy through the development and implementation of Large Language Model (LLM) solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the integration of AI capabilities with enterprise systems and data assets.
This is a highly analytical and hands-on technical role requiring strong data science fundamentals, critical thinking skills, business acumen, and the ability to translate complex analytical findings into actionable recommendations for stakeholders.

REQUIRED QUALIFICATIONS

Education: Graduate Degree in Computer Science, Data Science, Mathematics, Statistics, Electrical Engineering, or a related quantitative field required

Experience: Two (2) to Four (4) years of experience working as a data scientist or in a closely related role, preferably with an electric utility or power systems environment.

Equivalent Experience: Bachelor's Degree in Computer Science, Mathematics, Statistics, or a related field with five (5) or more years of experience in data science or applied machine learning, preferably in an electric utility or power systems environment.

Licenses, Certifications and/or Registrations: None required. Relevant certifications in cloud-based AI/ML platforms such as Microsoft Certified: Azure Data Scientist Associate or equivalent are a plus.