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Location(s): 

USA - Herndon, VA, US

Function:  Digital Technology & Innovation
Job Category:  Digital Technology and Open Innovation

Senior Data Scientist

Wärtsilä is an innovative technology company known for being a forerunner in the Marine and Energy markets. Every day, we – Wärtsilians - put our hearts and minds into turning Wärtsilä's purpose of enabling sustainable societies with smart technology, and our Smart Marine and Energy visions into reality. Our ultimate aim is to provide increased value to both our customers and society. New, game-changing ideas and continuous improvement have been part of our DNA since 1834. Together, we can create new business opportunities and more sustainable future that we can all be proud of. 

 

We want to transition the world towards a cleaner future. By pushing the boundaries of engineering and technology, we can make it work. We are always on the lookout for future-oriented talent – want to join the ride?

 

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.

 

We are seeking a Senior Data Scientist to join our growing software team.

 

The ideal candidate will be a self-starter that can work both independently and as part of an interdisciplinary team. The candidate should thrive in a fast paced, constantly changing environment while the industry and company go through substantial growth.

 

Position Title:

Senior Data Scientist

 

Employment Type:

Full Time

 

Experience:

5-10 years of relevant experience

 

Function:

Software Engineering

 

Role Summary/Purpose:

The primary function of this role is to advance the development of our Renewables+ product offering. 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.

 

Essential Responsibilities:

  • Develop, implement, and leverage linear and quadratic programming optimization methods.
  • Research, develop, and implement reinforcement learning applications.
  • 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.
  • Provide expertise related to renewable + storage power purchase agreements (PPAs) in the context of both vertically integrated utilities and merchant electricity markets globally.
  • 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 needed.

 

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:

  • Experience in the energy industry, particularly with forecasting and dispatch systems.
  • M.S. or Ph.D. in physics, mathematics, or engineering.
  • Track record of a career trajectory in and towards software engineering.
  • Experience with energy storage PPAs.
  • Expert level in Python as a programming language (5+ years).
  • Can work independently and provide strong leadership.
  • Location: Herndon, Virginia, USA; Remote USA; Australia; Finland; North America; UK.
  • Other Countries will be considered based upon qualified candidates.

 

Desired Characteristics:

  • Expertise in predictive analytics including regressions and machine learning techniques.
  • 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.

 

Contact person to give further information:

 

Successful applicant must be authorized to work in the USA without sponsorship.

 

We look forward to hearing from you. Qualified candidates must apply online: http://www.wartsila.com/en/careers/vacancies.

 

Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package.   Wärtsilä North America is an EOE/AA employer. 
 

This is Wärtsilä

Wärtsilä is a global leader in smart technologies and complete lifecycle solutions for the marine and energy markets. By emphasizing sustainable innovation, total efficiency and data analytics, Wärtsilä maximizes the environmental and economic performance of the vessels and power plants of its customers. In 2019, Wärtsilä’s net sales totaled EUR 5.2 billion with approximately 19,000 employees. The company has operations in over 200 locations in more than 80 countries around the world. Wärtsilä is listed on Nasdaq Helsinki. Find out more at www.wartsila.com


Nearest Major Market: Washington DC