Data Scientist

2+ Years experience in a highly related role
BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Operations Research, Statistics, Economics, or Power Systems (or related fields)
Demonstrated academic or professional software coding experience in Python
Experience performing independent research
Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
Strong interpersonal skills, teamwork skills, and work ethic
Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)

Prototype and experiment with novel machine learning models and mathematical algorithms for short term energy market forecasting
Optimize and enhance computational efficiency of algorithms and software design
Work with our team of analysts to integrate new data sources, evaluate performance, automate, and generalize data science models within production software
Design and write clean, scalable, production code in Python
Refactor code for improved performance, stability, and scalability
Implement systems for collecting, storing, and working with data at scale
Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders
This position involves working collaboratively both within your software team and outside with the analyst team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning.

Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
Ability to communicate with impact and confidence, both orally and in writing
Understanding of basic microeconomic principles
Knowledge of wholesale electricity markets