Extensible Energy | Data Scientist | Berkeley, CA | Full-time | ONSITE
We are a cleantech innovator developing amazing software to integrate more solar into the grid while saving commercial electricity customers money. Led by serial entrepreneurs with a track record of success in this field, we're growing -- and growth provides great opportunities for the right new team members. We are in need of a Data Scientist to build and evaluate models of energy production and usage in commercial buildings. This is a unique opportunity to become a core part of team of energy entrepreneurs. The Data Scientist's work will be integrated into a shipping commercial product.
Responsibilities
    - Research and develop statistical learning models, with an emphasis on timeseries forecasting
    - Collaborate with product manager, software engineers, and building engineer
    - Develop contacts with customers, partners, and public entities required to obtain rich data sources for model development
    - Maintain careful documentation of data sources, data validation, and modeling processes

Qualifications
    - Advanced degree in computer science, statistics, applied math, economics, engineering, or related field
    - Rigorous understanding of statistical modeling and timeseries forecasting
    - Several years practical experience with statistical languages, database programming, and data analysis (particularly machine learning, neural networks, and time-series analysis)
    - Extensive background in real-world statistical analysis
    - Excellent pattern recognition and predictive modeling skills (including thoughtful evaluation of how applicable and "good" a model is to a specific problem)
    - Enough machine learning experience to be dangerous
    - Real-world Python experience required
    - Knowledge and interest in energy and building modeling desirable
Ask HN: Who is hiring? (January 2019)