Wärtsilä
Senior Data Scientist
Wärtsilä, Herndon, Virginia, United States, 22070
Senior Data Scientist
Company Overview
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. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration.
Role Summary/Purpose
The primary function of this role is to advance the development of Wärtsilä’s automated electricity market bidding platform. The Data Scientist will assist in the development of simulation tools, forecasting methods, and data-driven operation optimization algorithms for energy systems in Python.
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.
Tune data models and algorithms for conducting time series analysis, forecasting, and operation optimizations related to energy management.
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.
Support tasks outside of job description as needed.
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 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.
Application Information
Last application date: 26/09/2024
We look forward to hearing from you. Qualified candidates must apply online:
Wärtsilä Careers
Additional Information
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. Wärtsilä North America values our employees and offers a competitive salary and comprehensive benefits package.
Equal Opportunity Employer
Wärtsilä North America is an EOE/AA employer. We are not accepting unsolicited submissions from 3rd party recruitment agencies.
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Company Overview
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. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration.
Role Summary/Purpose
The primary function of this role is to advance the development of Wärtsilä’s automated electricity market bidding platform. The Data Scientist will assist in the development of simulation tools, forecasting methods, and data-driven operation optimization algorithms for energy systems in Python.
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.
Tune data models and algorithms for conducting time series analysis, forecasting, and operation optimizations related to energy management.
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.
Support tasks outside of job description as needed.
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 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.
Application Information
Last application date: 26/09/2024
We look forward to hearing from you. Qualified candidates must apply online:
Wärtsilä Careers
Additional Information
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. Wärtsilä North America values our employees and offers a competitive salary and comprehensive benefits package.
Equal Opportunity Employer
Wärtsilä North America is an EOE/AA employer. We are not accepting unsolicited submissions from 3rd party recruitment agencies.
#J-18808-Ljbffr