Senior Data Scientist

Wärtsilä

Wärtsilä Energy Storage & Optimization leads in global energy storage solutions, aimed at fostering a 100% renewable energy future. This role is crucial in developing their automated electricity market bidding platform within a dynamic and growth-oriented team focused on energy infrastructure solutions.

In this role you can expect to have the responsibilities:

• Develop and implement forecasting methods
• Create cloud-based model training and validation processes
• Deploy forecast models for programmatic retrieval
• Convert data models and algorithms into software solutions
• Collaborate with cloud services development team for deployment and performance tuning
• Enhance data models for time series analysis and energy management optimizations
• Document algorithm improvements and new method implementations

This role comes with the following benefits:

• Competitive salary and comprehensive benefits package
• Opportunities for personal and professional development
• Dynamic working environment with motivated coworkers
• Commitment to diversity, inclusion, and equal employment opportunities

This role requires you to have:

• M.S. or Ph.D. in physics, mathematics, or engineering
• Expertise in Python with 5+ years of experience
• Experience in machine learning for time series forecasting
• Understanding of power markets or commodity trading
• Ability to work independently and demonstrate leadership

You would benefit from having:

• Experience in power system dispatching
• Predictive analytics expertise including machine learning techniques
• Background in the energy industry
• Experience with production systems using advanced statistical algorithms
• Familiarity with large, distributed datasets

Employees might be subject to vaccination requirements depending on job assignments. Wärtsilä values diversity and equal opportunity, offering a supportive environment for individuals authorized to work in the USA.