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16 часов назад

Senior Data Scientist (Solar)

116 800 - 146 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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