Data Science Technical Project Lead

Description

1 day in office, 4 days WFH  - NY or MA

Must have skills set

• Data Science
• AI
• Project Management
  
  

As a Data Science Technical Project Lead at Client, 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:

• Client’s 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 Client and, occasionally, externally
• Staff project pods with a combination of internal Client 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 stack overflow 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