Senior Data Scientist

Wartsila • Herndon, VA

294d • Remote

About The Position

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. 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 Senior 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. The location for this position is Herndon, VA and will be hybrid.

Requirements

• M.S. or Ph.D. in physics, mathematics, or engineering
• Track record of a career trajectory in and towards software engineering
• Experience in machine learning for short term time series forecasting
• 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

Nice To Haves

• 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

Responsibilities

• Develop and implement forecasting methods
• Develop and implement cloud-based model training and validation processes
• Deploy forecast models into production, where the results can be retrieved programmatically
• 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
• Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification

Benefits

• Competitive salary
• Comprehensive benefits package

What This Job Offers

• Career Level: Senior
• Industry: Repair and Maintenance
• Education Level: Master's degree