Sr. Data Scientist

at  Vivint Smart Home

JOB DESCRIPTION

Welcome to the intersection of energy and home services. At NRG, we’re driven by the idea of a smarter, cleaner, more connected future—and the possibilities that will bring to the world and to the 7.3 million customers we serve.
Vivint Smart Home, an NRG-owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. More information is available at www.nrg.com or www.vivint.com. Connect with NRG and Vivint on Facebook, Instagram, LinkedIn and X.

SUMMARY:

We are seeking a talented Senior Data Scientist to lead our efforts in optimizing and advancing our virtual power plant initiatives. The ideal candidate will play a pivotal role in leveraging data-driven insights to enhance the performance, reliability, and scalability of our VPPs. As a Senior Data Scientist specializing in VPPs, you will collaborate closely with cross-functional teams to develop and deploy advanced analytics solutions, drive strategic decision-making, and shape the future of energy management.

REQUIRED SKILLS:

• Experience with timestamped event data and common data transformations.
• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Energy, or other fields
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and dashboarding platforms.
• Highly analytical with strong, demonstrated problem-solving and critical thinking capabilities

REQUIRED EDUCATION/EXPERIENCE:

• Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience.
• 5+ years of work experience.

• Translate difficult business problem statements into analytical modeling requirements and maintain high bar throughout the execution.
• Conduct exploratory data analysis to uncover insights and trends that drive business value.
• Collaborate with engineering teams to deploy scalable solutions and integrate analytics into existing systems.
• Communicate findings and recommendations to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with product managers and stakeholders to understand business requirements, prioritize projects, and deliver actionable recommendations.