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Extensible Energy

Data Scientist

CompanyExtensible Energy
RoleData Scientist
Typefull-time
Role taxonomyData / Analytics
SpecialtiesData Science
LocationBerkeley, CA
Salary
Apply viaSee posting
Hiring notes
TechPythonML/AI
Parsed locationsBerkeley, CA
Posted byextensible
PostedJan 2, 2019
SourceView on Hacker News ↗

Original posting

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