Data Scientist
- Obtain, clean, transform, and visualize data sets
- Understand battery performance characteristics and wholesale markets to drive data analysis
- Develop modeling and optimization algorithms as required
- Produce site-specific solar and wind forecasts for renewables plus storage projects
- Produce optimal battery dispatch strategies for various BSaaS use-cases
- Communicate and present results across Viridity's functional departments
- Interface with additional teams to support and utilize Viridity's cloud-computing analytics platform
- Communicate data analysis methods, observations, and interpretations through reports and presentations
- Perform additional job-related tasks as assigned
- Graduate degree or equivalent work experience in engineering, math, computer science, statistics, or other quantitative discipline
- 3-5 years' experience in quantitative analysis role, particularly within the energy industry
- Strong understanding of energy storage systems and wholesale energy markets
- Proficient in Python, Matlab, and MS Office Suite
- Experience with a variety of regression techniques (time-series modeling, support vector regression, linear regression, etc.)
- Ability to multi-task, learn new skills quickly and work in a fast paced startup environment
- Must be able to work in an office environment
- This job requires sitting and/or standing for long periods of time with moderate bending, stooping and kneeling
- The ability to work at a computer and computer monitor for long periods of time and stay alert
- This position requires sitting 80% of the time and standing and walking 20% of the time
- Must have the ability to occasionally lift up to 25 pounds without assistance
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