Job Description

Core ResponsibilitiesCollect, clean, and analyze large data sets related to power plant performance, modeling, and
prediction.
Develop predictive models and algorithms to forecast power plant performance and identify
trends and patterns in data.
Collaborate with cross-functional teams to develop and implement data-driven solutions that
improve operational efficiency and reduce costs.
Design, implement and maintain APIs to enable easy access to data from various sources such
as Data Acquisition System (DAS), equipment manufacturers (e.g. inverter, transformers,
weather stations), National Weather Services (NOAA), third party weather data providers, etc.
Experience developing and executing Extract, Transform, Load processes with SQL databases.
Lead in the development of programming code to automate internal and external reporting
requirements.
Work with stakeholders to identify their requirements for data analysis, model development, and
performance optimization, and work with the team to deliver solutions that meet those
requirements.
Communicate findings and recommendations to technical and non-technical stakeholders in a
clear and concise manner.
Qualifications and Experience
Master\'s degree in a relevant field, such as computer science, statistics, or electrical
engineering and 5-10 years of experience. Or bachelor\xe2\x80\x99s degree and 10+ or more years of
experience.
Proficiency in Python (or R) and SQL.Experience of common visualization and analytics tools (ex: Tableau, PowerBI, Plotly, Pandas,
NumPy, Matplotlib.
Proficiency in MS Excel (inc. VBA)
Proficiency and demonstrated experience working with real-world data in all phases of the data
science life cycle\xe2\x80\x94data compilation, data exploration, feature selection and engineering,
training, testing and communication of results.
Two years of project management experience.
Data mining experience.
Strong critical thinking skills and ability to work independently and as part of a team.
Excellent communication and interpersonal skills.
The ideal candidate will have
Experience working in the power industry, specifically in performance analysis and modeling
(e.g. PVLib, SAM, PVSyst).
Knowledge of machine learning algorithms and statistical methods.
Knowledge of solar monitoring platforms (AlsoEnergy, GP.M, Powerfactors, etc.)
PMP or other project management certification

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