16 часов назад
Senior Data Scientist (Solar)
116 800 - 146 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Solar): Designing and scaling machine learning models for detecting and diagnosing faults in solar and energy storage assets with an accent on time-series analysis, anomaly detection, and production ML. Focus on distinguishing root causes in noisy multi-sensor data, deploying models into the Resolv platform, and improving field dispatch decisions.
Location: Remote, United States
Salary: $116,800–$146,000 per year
Company
is a fast-growing Series C tech-enabled service company developing performance assurance solutions for distributed solar and energy storage industries.
What you will do
- Develop machine learning models to detect underperformance, faults, and anomalies in photovoltaic and storage system time-series data.
- Build diagnostic logic to identify root causes such as soiling, shading, inverter clipping, outages, communication gaps, sensor drift, and degradation.
- Own the full data science lifecycle from problem definition and prototyping through validation, deployment, monitoring, and retraining.
- Partner with engineering to integrate models into the Resolv platform and generate prioritized dispatch recommendations.
- Measure field impact, including avoided truck rolls and faster issue resolution, and use operational feedback to improve models.
- Explore new modeling approaches and contribute to the detection and diagnostics roadmap.
Requirements
- MS in a quantitative field or equivalent experience and 6+ years of applied data science experience.
- Hands-on experience with time-series methods, including anomaly detection, forecasting, seasonal decomposition, and state-space models.
- Production ML experience with model deployment, monitoring, and retraining pipelines.
- Proficiency in Python, pandas, NumPy, scikit-learn, and SQL, plus experience with PyTorch or TensorFlow.
- Experience with noisy, irregularly sampled, multi-sensor data at scale and end-to-end modeling projects.
- Experience mentoring data scientists or engineers and making architecture and tooling decisions for production ML systems on a major cloud platform.
Nice to have
- Experience with GenAI, Claude Code, or LLMs in operational workflows.
- Solar performance modeling, pvlib, PVsyst, irradiance or weather datasets, inverter, SCADA, or industrial IoT data.
- Experience with Databricks, MLflow, ML orchestration, probabilistic forecasting, failure prediction, ranking, or dispatch optimization.
Culture & Benefits
- Remote work with an optional Seattle office and local gatherings for employee clusters.
- Family medical, dental, vision, disability coverage, 401(k) administration with a $1,000 annual match, and paid time off.
- Paid parental leave after one year and a four-week paid sabbatical after four years.
- Monthly health insurance premiums, performance bonuses, and long-term stock options.
- Up to $500 per year for courses, certifications, or conferences.
- Collaborative, mission-driven environment focused on mutual respect, trust, and inclusion.
Hiring process
- The role is planned to start in early Fall 2026.
- Visa sponsorship is not available now or in the future.
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