Principal Data Scientist

The primary function of this role is to advance the development of their automated electricity market bidding platform, a tool that enables the work of quantitative analysts in electricity power market trading. The Data Scientist will assist in the development of simulation tools, forecasting methods, and data driven operation optimization algorithms for energy systems in Python. The role will be an integral part of the Simulation and Data Science team in a Research and Development role, working to accelerate the development of our software capabilities while supporting new product development initiatives in the field of automated power system optimization.



This position is hybrid with the ideal candidate being near our software development center in Herndon, VA, USA. This position is open to all states with relocation provided if not near Herndon, VA.

Develop, implement, and leverage linear and quadratic programming optimization methods.
Research, develop, and implement reinforcement learning applications
Turn data models and algorithms into software and evaluate model effectiveness by conducting tests on large sets of historical data
Work with our cloud services development team to deploy and monitor Python solutions in a cloud/bare-metal hybrid environment, helping to tune and debug performance
Tune data models and algorithms for conducting time series analysis, forecasting, and operation optimizations related to energy management, improving performance and accuracy within the context of the business logic
Provide integration expertise related to electricity market rules and regulatory compliance in either Australia, Europe, the UK, or North America
Understand various ISO (Independent System Operator) telemetry requirements to maintain grid operator reliability and compliance
Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification
Support tasks outside of job description as needed
The candidate must be able to embrace the fast and dynamic environment of a growth stage company, comfortable with adjusting quickly to changing priorities.

Qualifications/Requirements
M.S. or Ph.D. in physics, mathematics, or engineering
Track record of a career trajectory in and towards software engineering
Experience in power markets or in other commodity trading and/or operations domains
Expert level in Python as a programming language (5+ years)
Can work independently and provide strong leadership
Desired Characteristics
Previously held NERC certification, preferably Balancing and Interchange or Balancing, Interchange and Transmission
3+ years of experience in power system dispatching
Expertise in predictive analytics including regressions and machine learning techniques
Work or academic experience in the energy industry
Prior experience with production systems running advanced statistical algorithms and machine learning
Experience with open-source analytic and data munging software
Familiar with large, distributed datasets for high-speed computing
Strong leadership record with active participation in renewable energy associations, forums, clubs, or groups