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5 days ago
We are seeking a highly skilled Data Scientist to lead the development and optimization of our Forecasting and Measurement & Verification (M&V) platform. This platform supports forecasting and M&V for approximately 3 million distributed energy devices at once.
As a senior member of the Forecasting team, you will collaborate closely with data engineers, software engineers, and SREs to enhance core algorithms, improve scalability, and deliver new services. You will play a key role in translating business needs into robust data science solutions that run in production at scale. This position is ideal for someone who is passionate about using data science to drive real-world impact in the energy sector.
Key Responsibilities:
- 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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