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9 часов назад

Data Scientist (Energy)

120 000 - 155 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Energy) (Machine Learning, Energy Markets): Building forecasting, optimization, and quantitative models for renewable generation, storage dispatch, energy prices, and power procurement with an accent on statistical modeling, electricity markets, and production integration. Focus on backtesting renewable energy projects, modeling power purchase agreements, developing probabilistic energy price scenarios, and shipping Python models into a cloud-based production environment.

Location: San Francisco, US; hybrid in San Francisco highly preferred

Base pay: $120,000–$155,000 per year, excluding benefits and potential equity.

Company

hirify.global builds an energy intelligence platform that helps large energy consumers procure, manage, and optimize cleaner power for AI infrastructure.

What you will do

  • Build and improve models for renewable generation, storage dispatch, and energy price prediction.
  • Use machine learning, statistical methods, and optimization techniques to analyze energy assets and markets.
  • Own research projects from problem formulation and solution design through validation and production integration.
  • Collaborate with product, engineering, and customer teams, and communicate findings to technical and non-technical audiences.
  • Write clean, documented Python code and integrate research outputs into the cloud-based production environment.
  • Develop expertise in electricity markets, renewable energy trends, and power purchase agreement modeling.

Requirements

  • Master’s degree in a quantitative field such as engineering, computer science, economics, mathematics, operations research, or physics, or a bachelor’s degree with 2+ years of energy sector experience.
  • Strong foundations in machine learning and statistical modeling.
  • Proficiency in Python, including NumPy, pandas, and scikit-learn.
  • Familiarity with wholesale electricity markets and renewable energy technologies.
  • Ability to communicate technical findings clearly to technical and non-technical audiences.
  • Applicants must be based in the US; hybrid work in San Francisco is highly preferred.

Nice to have

  • Experience with US or European wholesale electricity markets or utility tariff structures.
  • Experience with energy procurement, power purchase agreements, or risk management.
  • Experience modeling solar, wind, or energy storage operations and economics.
  • Knowledge of mathematical optimization and probabilistic forecasting.
  • Experience shipping models to production or a PhD in a relevant quantitative field.

Culture & Benefits

  • Empathetic, humble, and collaborative working environment.
  • Emphasis on honest, transparent communication and thoughtful execution.
  • Medical, dental, and vision insurance.
  • 401(k), equity grant, flexible hours, and unlimited PTO.
  • Dihirify.global and inclusive workplace focused on sustainability.

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