Senior Data Scientist for Energy Sector Impact

2 days ago

Jaipur, Rajasthan, India beBeeDataScience Full time US$ 1,50,000 - US$ 2,00,000
Forecasting and M&V Platform Lead

We are seeking a highly skilled Data Scientist to lead the development and optimization of our Forecasting and Measurement & Verification (M&V) platform.

  • Design, implement, and improve 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 support decision-making and model evaluation.
  • Enhance the scalability and efficiency of forecasting and M&V pipelines through code and system improvements.
  • Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs.
Requirements
  • 4+ years of experience in a data science role with a focus on time-series forecasting and/or M&V.
  • 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 (e.g., ARIMA, regression models, deep learning).
  • Experience with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn).
  • Hands-on experience with large-scale data processing using PySpark or Dask.
  • Strong SQL skills; experience with both RDS and NoSQL databases is advantageous.
Key Responsibilities

This position is ideal for someone who is passionate about using data science to drive real-world impact in the energy sector. As a senior member of the Forecasting team, you will collaborate closely with data engineers, software engineers, and SREs to enhance core algorithms, improve scalability, and deliver new services.

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