Data Scientist, Enterprise Analytics and AI

Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Data Scientist 3, Enterprise Analytics & AI 

Position Overview 

As a Data Scientist on Invenergy’s Enterprise Analytics & AI team, you will be part of a highly technical and centralized data team, focused on developing & delivering advanced analytical tools, AI solutions, and best practices to many Invenergy teams. You will collaborate with cross-functional stakeholders to understand business needs and translate them into analytical solutions that support strategic and operational objectives. This position offers the opportunity to influence decision-making across the enterprise by leveraging advanced data science methodologies, machine learning, and AI capabilities. 

Core Responsibilities 

• Partner with internal stakeholders to identify and execute on high-impact opportunities for advanced analytics and machine learning applications. 

• Communicate effectively with a wide range of audiences and business-domain experts on technical and non-technical topics. 

• Design, develop, and deploy predictive models, machine learning models, deep learning models, statistical analyses, and optimization algorithms to support business operations across energy generation, storage, transmission, and corporate functions. 

• Analyze large and complex datasets to extract actionable insights, identify trends, and present findings through compelling data visualizations and storytelling. 

• Build scalable data pipelines and machine learning workflows in collaboration with data architecture and IT teams. 

• Monitor and maintain the performance of deployed models and refine them over time as business needs evolve. 

• Contribute to the development and adoption of enterprise AI/ML governance standards, model documentation, and best practices. 

• Stay up-to-date with the latest tools, technologies, and trends in data science and AI to inform innovation and continuous improvement. 

Required Skills 

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 

• Minimum 4 years of experience in data science or machine learning roles, with a proven track record of delivering data-driven solutions; or, an advanced degree with 2+ years of experience.  

• Fluency in Python, including data science libraries. 

• Strong experience with SQL and working with large, complex datasets from various sources (e.g., structured, semi-structured). 

• Familiarity with cloud-based platforms and tools