What are the responsibilities and job description for the Principal Battery Data Scientist position at Wärtsilä?
Role Summary/Purpose
We are seeking a highly skilled, technically detailed, and articulate Principal Data Scientist to lead our digital twin team. This manager will work cross functionally between the cloud applications software engineering team, the embedded software engineering team, and various commercial and technical departments to support core business objectives and product development goals. The Principal Data Scientist will lead the development of simulation models, estimation methods, forecasting techniques, and data driven algorithms for utility scale energy storage systems, primarily using technologies such as Python and MATLAB Simulink. Additional aspects of this role include project bidding support, supply agreement support, product design support, and other business needs. Especially valued are experience in utility scale energy storage systems, battery reliability modeling, commercial aptitude, team management, and communication. 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 advanced battery power plant automation, optimization, and data analytics.
Essential Responsibilities
• Lead the team that builds software products and algorithms to estimate state of charge (SoC), SoC Imbalance, SoH, Useable Energy, Round trip efficiency, and other plant level performance metrics; including collaboration with product and engineering teams. • Lead team to provide project bidding support by providing warrantable fade curve estimation and beginning of life sizing to the sales engineering team.
• Provide subject matter expertise to the business, especially in relation to vendor technocommercial supply agreement negotiations.
• Ensure continuity of battery cell testing, including vendor prioritization and periodic cell performance reporting.
• Support other business needs on topics including anomaly detection, customer usage statistics, commissioning / capacity test support, and warranty design.
• Communicate complex technical findings and concepts to both technical and non-technical stakeholders alike.
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
• Ph.D. in battery chemistry, physics, material science, mathematics, computer science, or engineering • Demonstrated good management experience (5 years).
• Utility scale energy storage engineering experience.
• Extensive experience with time-series data.
• Track record of a career trajectory in data science and renewable energy.
• Strong Python programming level (3-5 years).
• Can work independently and provide strong leadership.
Desired Characteristics
• An enterprising spirit. • Experience developing lithium-ion battery models.
• Experience with data visualization tools such as Tableau or PowerBI
• Passion for renewable energy and energy storage
• Prior experience developing a monitoring and reporting platform
• An appreciation for solving difficult problems.
• Familiar with large, distributed datasets for high-speed computing.
• Strong leadership record with active participation in renewable energy associations, forums, clubs, or groups.
• Evidenced responsibility, good communication, and accountability in a remote and digital world.
