Description

Principal Data Scientist Wärtsilä Energy Storage & Optimization (ES&O) is the leading global energy storage optimizer. Our mission is to deliver integrated energy solutions that build a resilient, intelligent, and flexible energy infrastructure - unlocking the way to an optimized renewable future. By integrating renewables, energy management technology, and storage with traditional energy resources, we reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration and a more sustainable world for us all. We are seeking a Principal Data Scientist to join our growing software team. This position is hybrid or remote with the ideal candidate being near our software development center in Herndon, VA, USA. Role Summary/Purpose The primary function of this role is to advance the development of Wartsila’s 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.Essential Responsibilities • 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.

Role and Responsibilities

• Essential Responsibilities • 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.