Data Scientist

Job Description:

Overview
This position will work within the Asset Management team, which is responsible for the technical management of a growing portfolio of distributed generation and utility-scale projects located across the United States. This position reports to the Director of Technical Asset Management. As a data scientist in the renewable industry, you will be responsible for analyzing and interpreting data related to power plant performance, modeling, and prediction. Your work will help inform strategic decision-making and improve operational efficiency in the industry. You will collaborate closely with engineers, operation & maintenance teams, analysts, and business stakeholders to identify opportunities for data-driven insights and solutions.

Core Responsibilities

• Collect, 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’s 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—data 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