Lead Weather Scientist

2 days ago

Agra, Uttar Pradesh, India beBeeClimatologist Full time ₹ 25,00,000 - ₹ 30,00,000
Job Description

We are seeking an experienced climatologist to play a crucial role in the development of our next-generation Marine & Aviation Intelligence platform.

The successful candidate will be responsible for anchoring the climatology and atmospheric science foundation of this system, working closely with a passionate cross-functional team (AI, oceanography, aviation).

This is an excellent opportunity for senior climatologists with 15–25 years experience to contribute their expertise and shape India's first AI-powered Marine & Aviation Intelligence platform.

Required Skills and Qualifications

Key Responsibilities:

  • Data & Modeling
  • Curate and analyze climate datasets (ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives).
  • Develop methodologies for QPE (Quantitative Precipitation Estimation) and QCE (Quantitative Current Estimation).
  • Guide assimilation of rainfall, currents, waves, and tide datasets into unified models.
  • Forecasting & Validation
  • Collaborate on design of AI-driven rainfall and ocean current forecasts.
  • Establish skill metrics and validation frameworks against gauges and station networks.
  • Support integration of aviation climatology (turbulence, wind shear, visibility indices).
  • Domain Leadership
  • Mentor the AI/ML team on climatological best practices.
  • Advise on extreme events (monsoons, cyclones, storm surges, turbulence corridors).
  • Represent the organization in collaborations with IMD, INCOIS, IITM, ECMWF, and other climate centers.
  • Impact & Translation
  • Translate scientific outputs into actionable insights for Navy, Ports, Aviation, and Disaster Management.
  • Shape dashboards, tiles, and alerts to reflect climatological reliability.

Qualifications:

  • PhD/Master's in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
  • 10+ years research or applied experience in climatology / weather modeling / marine or aviation meteorology.
  • Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
  • Knowledge of assimilation techniques (Kalman filters, variational assimilation).
  • Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS a plus.
  • Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).
Benefits

Flexible engagement models and competitive consultancy packages.

Engagement Model

Open to Full-time or Consultancy (Advisory) arrangements.

Consultancy engagement may include:

  • Monthly/quarterly advisory sessions.
  • Review of data assimilation & forecast models.
  • Validation of AI-driven outputs against climatological standards.
  • Mentorship of AI/data science team.
  • Short-term project-based consulting also possible for specific pilots (e.g., Navy, Ports, ATC).

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