Lead Data Scientist

About the role

The Customer Performance Lab plays a critical role in improving the end-to-end customer experience across the entire Customer organization. The team focuses on understanding how customers interact across digital, operational, and field channels, and identifies opportunities to simplify processes, reduce friction, and deliver a more seamless customer journey.

Responsibilities

• Analyze end-to-end customer journeys to identify pain points, friction, and improvement opportunities
• Develop, test, evaluate, tune, and deploy predictive and machine learning models
• Cook up end-to-end algorithm/model development efforts among advanced analytics team members
• Advise senior leadership about the conclusions drawn from data science projects
• Create clear documentation of workflows, process flows, and methodologies used
• Agile delivery of data collection and analytics
• Gather requirements and documentation of requirement specification / Power BI report development for data visualization

Requirements

• Qualifications: Bachelor’s, Master’s, or PhD in Analytics, Economics, Data Science, Statistics, Mathematics, Computer Science, or related field; 3+ years of experience in data analysis, data modeling, and working with large datasets
• Skills: Advanced SQL skills (including complex joins, window functions, stored procedures); proficiency in Python for data processing; Strong experience building dashboards and connecting cross-channel datasets; Ability to conduct cross-departmental analysis and translate business requirements into data solutions; Experience with statistical methods or machine learning is a plus (not required)
• Utility industry experience strongly preferred

Qualifications

• Bachelor’s, Master’s, or PhD in Analytics, Economics, Data Science, Statistics, Mathematics, Computer Science, or related field
• 3+ years of experience in data analysis, data modeling, and working with large datasets
• Advanced SQL skills (including complex joins, window functions, stored procedures); proficiency in Python for data processing
• Strong experience building dashboards and connecting cross-channel datasets
• Ability to conduct cross-departmental analysis and translate business requirements into data solutions
• Experience with statistical methods or machine learning is a plus (not required)
• Utility industry experience strongly preferred

Skills

• Advanced SQL skills (including complex joins, window functions, stored procedures)
• Proficiency in Python for data processing
• Strong experience building dashboards and connecting cross-channel datasets
• Ability to conduct cross-departmental analysis and translate business requirements into data solutions

Benefits

Upstate NY Salary: $114,000 - $133,000 a year
MA Salary: $127,000 - $149,000 a year
Downstate NY Salary: $136,000 - $160,000 a year