Senior Time-Series Forecasting Expert

2 days ago

Pune, Maharashtra, India beBeeForecasting Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Role Summary

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We are seeking a highly skilled professional to lead the development and optimization of our forecasting platform.

This platform supports forecasting for approximately 3 million distributed energy devices at once.

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

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

Main Responsibilities
  1. Algorithm Development: Design, implement, and improve scalable forecasting algorithms using statistical, machine learning, and scientific methods.
  2. Scientific Techniques: Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to support decision-making and model evaluation.
  3. Pipeline Improvement: Enhance the scalability and efficiency of forecasting pipelines through code and system improvements.
  4. Cross-Functional Collaboration: Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs.
  5. Mentorship: Mentor junior team members and educate the team on core scientific concepts in forecasting.
  6. Project Management: Engage in sprint planning, estimation, reviews, and retrospectives within a Scrum framework.

Requirements

  • 4+ years of experience in a data science role with a focus on time-series forecasting.
  • 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.

Qualifications

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

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