Wärtsilä Corporation
Senior Data Scientist
Wärtsilä Corporation, Herndon, Virginia, United States, 22070
Function: Digital Technology & InnovationJob Category: Digital Technology and Open InnovationSenior 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.Role Summary/PurposeThe 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 statistical models to include uncertainty in optimization models• Apply advanced statistical and machine learning models to enhance forecast accuracy• 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• 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 neededThe 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 building deterministic and stochastic optimization models• 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 leadershipDesired Characteristics• 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 groupsWhy you and us:You will be a part of a global organization with local presence and work in an exciting and dynamic working environment with highly motivated and skilled co-workers. We offer interesting and challenging work tasks, as well as personal and professional development in a great team. If you feel excited by being a part of this working environment and think your personal skills and qualities match the job requirements, we look forward to receiving your job application. At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.We are not accepting unsolicited submissions from 3rd party recruitment agencies.Successful applicant must be authorized to work in the USA without sponsorship.
We look forward to hearing from you. Qualified candidates must apply online:
https://www.wartsila.com/careersIndividuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law. Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.
#J-18808-Ljbffr
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.Role Summary/PurposeThe 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 statistical models to include uncertainty in optimization models• Apply advanced statistical and machine learning models to enhance forecast accuracy• 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• 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 neededThe 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 building deterministic and stochastic optimization models• 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 leadershipDesired Characteristics• 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 groupsWhy you and us:You will be a part of a global organization with local presence and work in an exciting and dynamic working environment with highly motivated and skilled co-workers. We offer interesting and challenging work tasks, as well as personal and professional development in a great team. If you feel excited by being a part of this working environment and think your personal skills and qualities match the job requirements, we look forward to receiving your job application. At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.We are not accepting unsolicited submissions from 3rd party recruitment agencies.Successful applicant must be authorized to work in the USA without sponsorship.
We look forward to hearing from you. Qualified candidates must apply online:
https://www.wartsila.com/careersIndividuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law. Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.
#J-18808-Ljbffr