Data Scientist

Description:

Must have Data Science, AI, Project Management

As a Data Science Technical Project Lead, you lead the delivery of multiple simultaneous projects from beginning to end. You will work in a dynamic organization to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people.

About the Position:
Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. An ability to work cross-functionally and on agile teams is critical. In addition to broad technical knowledge, you need to have exemplary expertise in project management, change management, and stakeholder management.

You should have a strong knowledge of:
Project management and change management frameworks
Effective visualization and presentation
Statistical & probabilistic analyses
Machine learning methodologies, including GenAI
Programming/software development

Position responsibilities (including but not limited to):
Fully own and lead the delivery of 2-3 data science projects concurrently
Define the project s direction, scope, timelines, and deliverables in close collaboration with business stakeholders
Ensure that the insights delivered are actionable
Collaborate and liaise with technical and non-technical teams across all of and, occasionally, externally
Staff project pods with a combination of internal data scientists and external contractors/consultants
When projects require be able to contribute hands to the keyboard (Python)
Be intellectually curious and enjoy learning

Requirements:
Exceptional project management, change management, and stakeholder management skills
Fluency in AI/ML tools and techniques, including GenAI/Agentic AI
Experience with cloud computing (Azure is a plus)
Master s degree in a quantitative discipline, exceptional candidates considered with Bachelor s degree or Master s degree in progress

Preferred skills:
Energy or utility experience
Active github repository and stackoverflow account
Data Science competition entries (kaggle, kdnuggets, etc.)
GIS knowledge (ArcGIS is a plus)
Interactive visualization tools (PowerBI is a plus)
Knowledge of Agile frameworks