
Lead Data Scientist
1 week ago
Are you ready to lead the development of a cutting-edge forecasting platform?
Job Description:We are seeking a highly skilled Data Scientist with expertise in time-series forecasting and Measurement & Verification (M&V) to drive business growth through data-driven decision making.
This role involves collaborating closely with cross-functional teams to enhance core algorithms, improve scalability, and deliver new services that support forecasting and M&V for millions of distributed energy devices.
You will play a key role in translating business needs into robust data science solutions that run in production at scale. This position requires someone who is passionate about using data science to drive real-world impact in the energy sector.
Responsibilities & Skills:- Algorithm Development: Design, implement, and improve scalable forecasting and M&V algorithms using statistical, machine learning, and scientific methods.
- Scientific Analysis: Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to support decision-making and model evaluation.
- Performance Optimization: Enhance the scalability and efficiency of forecasting and M&V pipelines through code and system improvements.
- Cross-Functional Collaboration: Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs.
- Mentorship & Knowledge Sharing: Mentor junior team members and educate the team on core scientific concepts in forecasting and M&V.
- Agile Participation: Engage in sprint planning, estimation, reviews, and retrospectives within a Scrum framework.
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