Senior Data Scientist with Expertise in Time-Series Forecasting

5 days ago

Dindigul, Tamil Nadu, India beBeeData Full time US$ 1,00,000 - US$ 1,40,000
Job Title

The position involves leading the development and optimization of a forecasting and measurement & verification platform for distributed energy devices. This role requires collaboration with data engineers, software engineers, and SREs to enhance core algorithms, improve scalability, and deliver new services.

Responsibilities
  • Algorithm Development: Design, implement, and improve scalable forecasting and M&V algorithms using statistical, machine learning, and scientific methods.
  • Scientific Analysis: Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to support decision-making and model evaluation.
  • Performance Optimization: Enhance the scalability and efficiency of forecasting and M&V pipelines through code and system improvements.
  • Cross-Functional Collaboration: Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs.
Required Skills
  • 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).
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Our Expectations

As a senior member of the team, you will be expected to drive innovation and excellence in your work. We are looking for someone who is passionate about using data science to drive real-world impact in the energy sector.

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