Job Description

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
The primary function of this role is to advance the development of Wartsila’s Battery Intelligence Platform, a tool that enables customers to get insights from the Energy Management Systems Data. The Senior Data Scientist will assist in the development of algorithms, simulation tools, forecasting methods and optimizations 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.

Essential Responsibilities
•    Develop statistical models to predict and monitor energy storage system performance.
•    Apply lab-based learnings to field data for prognostic recommendations and problem identification.
•    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 with lithium-ion battery cells or battery systems
•    Expert level in Python as a programming language (5+ years)
•    Can work independently and provide strong leadership

Desired Characteristics
•    Experience with utility scale battery power plants
•    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: 21/03/2025 

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 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:

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. We offer a competitive salary and comprehensive benefits package. Wärtsilä 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.

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