Interconnection Data Scientist
Company
Qcells
Location
Remote
Type
Full Time
Job Description
Essential Job Functions & Responsibilities
- Lead thedevelopmentofour time seriesprobabilisticforecastingalgorithms.Â
- Work tocontinuouslyimprovemodelperformance and debugwherenecessary.Â
- Benchmarking forecastperformanceacrossvariousloadand renewableprofiles,fuelprices, and policyscenarios.
- CollaboratewithotherteamswithinQcells and external consultanttoassesshowforecastscanbeadjustedforvariouseconomicobjectives.Â
- Integrating the forecasting tool into our other forecasting models/tools and dispatch optimization tools to create a robust number for Project Finance department.
- Proactively identify opportunities within Qcells that can benefit from data science analysis and present those findings.Â
- Write SQL API code to get historical data from ISO/RTO for benchmarking purpose, including congestion, demand, LMP, import/export, generation, and outages.Â
- Gather other public or private (subscription) forecast data to provide insights.
- Provide subject-expertise to review external consultant work for other energy related forecast.
Required Qualifications
- A degree in Electricalengineering and/orMaster’spreferred.Â
- 3+ yearsofindustryexperiencedeveloping, supporting, and deployingforecastingmodelsforenergyapplications.
- Expertisein Data Science language such as Python, Matlab and R.Â
- Database skill in SQL.Â
- Experience with Python libraries for numerical methods and timeseries data.Â
- Strong background in linear algebra and statistics.Â
- Experience communicating / working with utilities, consulting firms, and ISO/RTOsÂ
- Machine Learning related experience is desired.
- Experience in energy / utility or related markets is desirable but not necessary.Â
- Willingness to travel, up to 20% of the time.Â
Date Posted
06/24/2023
Views
10
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