Senior Data Scientist

2 weeks ago


Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,20,00,000

Lead Data Scientist in Time-Series Forecasting and M&V.

We seek a senior data scientist to spearhead the development and optimization of our forecasting and measurement & verification (M&V) platform.

This platform supports large-scale forecasting and M&V for millions of energy devices.

You will collaborate with engineers, software developers, and SREs to enhance core algorithms, improve scalability, and deliver new services.

Your role involves translating business needs into robust data science solutions that run at scale.

This position is ideal for someone passionate about using data science to drive real-world impact in the energy sector.

  • Key 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.
  • Mentorship & Knowledge Sharing: Mentor junior team members and educate the team on core scientific concepts in forecasting and M&V.
  • Agile Participation: Engage in sprint planning, estimation, reviews, and retrospectives within a Scrum framework.

Requirements and Qualifications:

  • A minimum of 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.
  • A 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.
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Education:

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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