Time-Series Expert

18 hours ago

Ajmer, Rajasthan, India beBeeForecast Full time ₹ 2,50,00,000 - ₹ 3,50,00,000

Senior Time-Series Forecaster

We are seeking a seasoned data scientist to spearhead the development and refinement of our time-series forecasting platform.

This cutting-edge platform handles forecasting for approximately 3 million distributed energy devices simultaneously, making it a crucial tool 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. Your expertise will play a key role in translating business needs into robust data science solutions that run in production at scale.

The ideal candidate is passionate about harnessing data science to drive real-world impact in the energy sector and possesses a strong background in time-series forecasting.

Detailed Responsibilities:

  • Develop, implement, and refine scalable forecasting 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 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.
  • Mentor junior team members and educate the team on core scientific concepts in forecasting.
  • Participate in agile development processes, including 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.
  • 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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