TL;DR
Design, build, and scale advanced detection and diagnostic models for solar and storage assets.
- •We are seeking a Senior Data Scientist to design, build, and scale advanced detection and diagnostic models for solar and storage assets.
- •Key Responsibilities Develop machine learning models that detect underperformance, faults, and anomalies in PV and storage system time-series data.
- •Build diagnostic logic that distinguishes root causes of underperformance.
- •Own the data science lifecycle from problem definition and model development through validation and monitoring.
- •Partner with engineering to integrate your models into Resolv, turning model outputs into concrete, prioritized dispatch recommendations.
- •Explore and prototype new modeling approaches and validate their business impact before investing in production deployment.
- •Requirements MS in a quantitative field or equivalent experience; 6+ years in applied data science.
- •Strong hands-on experience with time-series methods: anomaly detection, forecasting, seasonal decomposition, state-space models.
- •Production ML experience including model deployment, monitoring, and retraining pipelines.
- •Proficiency in Python (pandas, numpy, scikit-learn) and SQL; experience with at least one of PyTorch/TensorFlow.
- •Experience working with noisy, irregularly sampled, multi-sensor data at scale.
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