Advanced Data Scientist for Energy Sector Forecasting

1 week ago

Dombivli, Maharashtra, India beBeeDataScientist Full time ₹ 1,20,00,000 - ₹ 1,70,00,000

Job Opportunity:

We are seeking a seasoned Data Scientist to spearhead the development and optimization of our advanced forecasting and measurement & verification (M&V) platform.

This cutting-edge platform supports high-volume forecasting and M&V for over 3 million distributed energy devices, providing critical insights for decision-making.

In this key role, you will collaborate closely with cross-functional teams to enhance core algorithms, improve scalability, and deliver new services that drive real-world impact in the energy sector.

Responsibilities & Skills:

  • Design, implement, and refine scalable forecasting and M&V algorithms using statistical, machine learning, and scientific methods.
  • Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to inform business decisions and evaluate model performance.
  • Prioritize code and system improvements to enhance the efficiency and scalability of forecasting and M&V pipelines.
  • Collaborate with engineers and SREs to resolve production issues, gather requirements, and support client needs.
  • Mentor junior team members and educate the team on core scientific concepts in forecasting and M&V.
  • Participate in sprint planning, estimation, reviews, and retrospectives within an Agile framework.

Required Skills & Qualifications:

  • Minimum 4 years of experience in a data science role with a focus on time-series forecasting and/or M&V.
  • Proficiency in Python programming, with experience navigating and contributing to production codebases.
  • In-depth knowledge of statistical and machine learning methods for time-series forecasting (e.g., ARIMA, regression models, deep learning).
  • Familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn).

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