Dynamic Forecasting Specialist

4 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,20,00,000
Senior Data Scientist

Transform business strategy into robust data-driven solutions by leading the development and optimization of our forecasting and measurement & verification (M&V) platform. This platform supports forecasting and M&V for approximately 3 million distributed energy devices at once.

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. You will play a key role in translating business needs into production-ready data science solutions that drive real-world impact in the energy sector.

Key Responsibilities:

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

Required Skills and Qualifications:

  • 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.
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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