Senior Data Scientist, Product Analytics (Remote, US)

• Lead cross-functional initiatives to define, implement, and iterate on measurement and analysis of our Virtual Power Plant (VPP).
• Proactively analyze and interpret complex data to uncover critical business, product, and user insights, and propose strategies for improving systems and tools.
• Synthesize large-scale, disparate datasets (smart meter data, device telemetry, settlement data, logs) to increase the impact of VPP products and services.
• Build source of truth data models in DBT, define KPIs, and influence product and business strategy through effective communication of analytical results.

This role directly contributes to optimizing the largest residential virtual power plant in North America, enabling cleaner energy and helping customers save energy and money, thereby reducing carbon emissions and advancing the transition to renewable energy.

• 5+ years of experience in analytics, analytics engineering, or data science.
• Fluency in SQL and deep experience with columnar data warehouses (e.g., Redshift, BigQuery), including dimensional modeling and query optimization.
• Proficiency in Python for data analysis (e.g., Pandas, NumPy, Jupyter).
• Solid foundation in statistics including causal inference, experimentation, and simulation.

• Full-time position with competitive salary: $155k - $195k base salary.
• Fully remote work environment with home office setup allowance.
• Real work-life balance: no pre-set vacation limits, parental leave benefits, and a culture of working sustainably.
• Competitive benefits package including health and wellness benefits, and 401(k) with employer contributions.

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. They partner with industry-leading brands to manage residential energy for efficiency, savings, comfort, and cleaner energy.