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Primary Location: 

USA - Herndon, VA, US

Function:  Digital Technology & Innovation
Job Category:  Digital Technology and Open Innovation

Senior Data Scientist

Wärtsilä’s Energy Storage, Solar, and Integration business unit is a leading provider of energy control software and integration services. Our mission is to enable a cleaner, more intelligent, and distributed energy infrastructure. Now in its fifth generation, Wärtsilä’s GEMS (Greensmith Energy Management System) software platform optimizes the operation of energy systems by lowering costs and maximizing system return on investment.

 

Wärtsilä’s Energy Storage, Solar, and Integration business unit also designs and deploys the world’s most advanced energy storage systems. From grid-scale to behind-the-meter and microgrid solutions, the GEMS software platform enables effective and efficient delivery of stable power with unsurpassed performance and profitability.

 

Headquartered in Herndon, Virginia, we are seeking a Senior Data Scientist / Software Engineer in the Washington, DC metropolitan area, to join our data science team.

 

Role Summary/Purpose
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 customer facing simulation efforts.

 

Essential Responsibilities
• Develop, implement, and leverage linear and quadratic programming optimization methods.
• 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 networking 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.
• Evaluate model effectiveness by conducting tests on large sets of historical data.
• Improve performance of optimization algorithms that use forecasts with uncertainty, for both simulation efforts and real-world operation of physical assets.
• 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
• Expertise in predictive analytics including regressions and machine learning techniques.
• Expert level in Python as a programming language (5+ years)
• Can work independently and provide strong leadership

 

Desired Characteristics
• An academic concentration on renewable energy.
• 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.

 

 

Wärtsilä's purpose is enabling sustainable societies with smart technology. We shape our markets by generating transformative results through collaboration, partnerships, market insight and active engagement in ecosystems.

 

Wärtsilä is a global leader in smart technologies and complete lifecycle solutions for the marine and energy markets. By emphasising sustainable innovation, total efficiency and data analytics, Wärtsilä maximises the environmental and economic performance of the vessels and power plants of its customers. In 2018, Wärtsilä’s net sales totalled EUR 5.2 billion with approximately 19,000 employees. The company has operations in over 200 locations in more than 80 countries around the world. Wärtsilä is listed on Nasdaq Helsinki.


Nearest Major Market: Washington DC