Senior Data Scientist
Apply NowCompany: Wärtsilä
Location: Houston, TX 77084
Description:
Wrtsil 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 Wrtsil's vision towards a 100% renewable energy future through flexibility, reliability, and integration and a more sustainable world for us all.
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 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 Houston, Texas and will be hybrid.
Essential 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
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 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
Desired 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 groups
Last application date: 19/03/2025
Why 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 Wrtsil 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/careers
Individuals 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. Wrtsil North America values our employees. We offer a competitive salary and comprehensive benefits package. Wrtsil North America is an EOE/AA employer.
Effective January 2025, Wartsila companies in the USA will implement a new hybrid work model. Most employees who live within 40 miles of an office will work 2 days per week in office. This model will provide our employees the flexibility of working from home, while also providing the benefits of in-person collaboration twice a week. We will be happy to provide more information during your interview process.
#esocareers
#wrtsilenergy
#LI-BR1
#LI-Hybrid
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 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 Houston, Texas and will be hybrid.
Essential 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
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 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
Desired 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 groups
Last application date: 19/03/2025
Why 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 Wrtsil 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/careers
Individuals 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. Wrtsil North America values our employees. We offer a competitive salary and comprehensive benefits package. Wrtsil North America is an EOE/AA employer.
Effective January 2025, Wartsila companies in the USA will implement a new hybrid work model. Most employees who live within 40 miles of an office will work 2 days per week in office. This model will provide our employees the flexibility of working from home, while also providing the benefits of in-person collaboration twice a week. We will be happy to provide more information during your interview process.
#esocareers
#wrtsilenergy
#LI-BR1
#LI-Hybrid