Energy Data Scientist

📋 Description

• Drive the development of M&V methodologies and data science models for more accurate and
• Write production-level code, prototype new data products, and apply machine learning algorithms to
• Work to translate data from one of the largest distributed energy datasets in the electricity
• Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering
• Other duties as assigned

🎯 Requirements

• Passionate about enabling a carbon-free, distributed energy future
• Experience finding valuable insights in large, complex datasets
• Experience with Python and the scientific stack (pandas, numpy, scipy)
• Proficiency in SQL and good data modeling practices (basic ETL/ELT)
• Practical comprehension of basic machine learning algorithms and familiarity with popular software
• Ability to explain results from large-scale data analyses to diverse audiences in a clear

🎁 Benefits

• 100% paid medical for employees and a 401(k) with employer match
• Casual environment, flexibility to set your own schedule
• Fully stocked fridge and pantry
• Free Citi Bike membership, secure bike rack
• Gym subsidy
• Paid parental leave