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Forecasting Expert
3 weeks ago
The Senior Data Scientist / Data Analyst plays a vital part in delivering forecasts for electricity and distributed energy resources over 1–30 years.
Utilizing advanced techniques, including machine learning, predictive models, time series analysis, deep neural networks, and engineering methods, this role produces regional and local forecasts to meet the organization's objectives.
Main Responsibilities- Develop and apply sophisticated models to forecast electricity demand; design, test, and refine these models to optimize performance.
- Effectively communicate methods and results to teams and stakeholders, ensuring seamless collaboration and mutual understanding.
- Collaborate with forecasting teams on demand, multi-sector, and reliability modeling to drive business growth and efficiency.
- Coordinate data sharing within the organization and with partners to support electrification and multi-sector impacts.
- Represent the organization in reports, working groups, and stakeholder forums to foster strategic relationships and advancements.
- Participate in health and safety activities to maintain a safe and healthy work environment.
- A master's or Ph.D. in computer science, data science, machine learning, electrical engineering, or related fields is typically required.
- Relevant certifications in machine learning, deep learning, or data science are highly valued and can provide a competitive edge.