Lead Data Scientist

National Grid
Waltham, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 133K

Job location

Waltham, United States of America

Tech stack

Data analysis
Big Data
Data Systems
Data Visualization
Python
Machine Learning
Power BI
SQL Stored Procedures
Data Processing
Sql Optimization
Information Technology

Job description

The Customer Performance Lab supports the Customer organization by delivering crosschannel and crossdepartmental insights that improve how customers move through our processes. We analyze operational, digital, and field interactions endtoend to strengthen the customer journey and identify opportunities for continuous improvement across multiple portfolios.

The successful candidate will leverage strong data processing, advanced SQL skills (including writing and optimizing stored procedures), requirementsgathering capabilities, and analytical expertise to develop reporting, perform multichannel analysis, validate datasets, and build Power BI dashboards.

This role collaborates closely with business stakeholders, IT partners, and other data teams to translate complex customerjourney data into actionable insights and support key initiatives across Customer organization. Key Accountabilities

  • Develop, test, evaluate, tune, and deploy predictive and machine learning models
  • Coordinate end to end algorithm/model development efforts among advanced analytics team members
  • Advise senior leadership about the conclusions drawn from data science projects
  • Educate team members and IT organization and business users about data science and approaches
  • Work with data engineers to acquire, extract, transform, manage and manipulate data sets for specific use cases
  • Create clear documentation of workflows, process flows, and methodologies used
  • Agile delivery of data collection and analytics
  • Gather requirements and documentation of the requirement specification / Power BI report development for data visualization
  • Analytical, Investigative reasoning and problem-solving skills., Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all. National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.

Requirements

  • Advanced Degree in Analytics, Data Science, Economics, Statistics, Mathematics, Computer Science, or related field
  • 7+ years of experience in data analysis, data modeling, and working with large datasets or related experience
  • Advanced SQL skills (including complex joins, window functions, stored procedures); proficiency in Python for data processing
  • Strong experience building Power BI dashboards and connecting crosschannel datasets
  • Ability to conduct crossdepartmental 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

About the company

National Grid is hiring a Lead Data Scientist (hybrid) in the following preferred locations: Brooklyn NY, Hicksville NY, Syracuse NY or Waltham MA. Every day, we deliver safe, reliable energy to homes, communities, and businesses. As our industry evolves, we're focused on meeting customer needs today while building more flexible, sustainable energy systems for tomorrow. To be successful, we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

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