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/Purpose
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 Battery 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.

The preferred location for this role is Herndon, VA. 

Essential Responsibilities
•    Track and report ongoing lab tests.
•    Build statistical models to predict and track energy storage performance.
•    Apply lab insights to field data for diagnostics and recommendations.
•    Test and validate models using lab and field data.
•    Create cloud-based processes for training and validating models.
•    Deploy forecast models for automated results retrieval.
•    Turn models into software and test them on historical data.
•    Collaborate with cloud services teams to optimize and debug Python solutions in a hybrid environment.
•    Optimize models for time series analysis, forecasting, and energy management.
•    Develop algorithms for battery performance metrics like State of Charge (SoC) and State of Health (SoH).
•    Document new methods and model improvements for clarity and 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
•    Research related to and experience with lithium-ion batteries.
•    Proficiency in Python as a programming language (2+ years)
•    Expertise in statistical analytics including regressions and machine learning techniques
•    Track record of a career trajectory towards and in software engineering
•    Can work independently and provide strong leadership.

Desired Characteristics
•    Focus on renewable energy in studies or work.
•    Experience with large-scale battery power plants.
•    Deep knowledge of LFP batteries.
•    Skills in predictive analytics and machine learning.
•    Background in the energy industry (work or studies).
•    Experience running advanced statistical or machine learning algorithms in production.
•    Proficiency with open-source analytics tools.
•    Familiarity with large, distributed datasets for fast computing.
•    Leadership and involvement in renewable energy groups or forums.
 

Last application date: 03/01/2025 

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: 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. 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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