
Energy Forecasting Analyst
1 day ago
We are seeking a skilled data analyst to join our team and contribute to the development of our forecasting platform. The ideal candidate will have experience working with time-series data, statistical models, and machine learning algorithms.
The successful applicant will be responsible for designing, implementing, and optimizing scalable forecasting algorithms using statistical and machine learning methods. They will also work closely with engineers and SREs to enhance core algorithms, improve scalability, and deliver new services.
This role is ideal for someone who is passionate about using data science to drive real-world impact in the energy sector. We offer a dynamic work environment, opportunities for professional growth, and the chance to make a meaningful contribution to the field.
Key Responsibilities:- Develop and implement statistical and machine learning models for time-series forecasting.
- Collaborate with cross-functional teams to optimize algorithm performance and improve scalability.
- Design and implement data pipelines to support large-scale data processing.
- Mentor junior team members and educate the team on core scientific concepts in forecasting.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in a data science role with a focus on time-series forecasting.
- Strong programming skills in Python, with experience navigating and contributing to production codebases.
- Deep understanding of statistical and machine learning methods for time-series forecasting.
- Experience with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn).
- Ongoing training and education opportunities.
- A collaborative and dynamic work environment.
- The chance to work on high-impact projects and contribute to the field of energy forecasting.
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