Weather Data Scientist: Data Assimilation

Working hours: The team is distributed across India and the US, so expect a few hours of evening overlap with US Pacific Time on most workdays.

Overview

About Pravāh
Pravāh is an AI lab building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data including satellite imagery, LiDAR, and street-level data to build high-fidelity representations of grid assets and their surroundings.
We are backed by Khosla Ventures, Pear VC, and Conviction - some of the most ambitious investors in Silicon Valley.
More about who we are, what we are building, and why we are excited: Website, Pravāh on Notion.

The role
We are hiring a Weather Data Scientist to advance the next generation of weather forecasting systems for India,



with solid attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on three core threads:
1. Data assimilation: contribute hands-on to data assimilation for weather forecasting models.
2. ML-ready datasets: procure, process, and create ML-ready global and regional weather datasets at large scale (high volume, multi-source, long time horizons), with explicit focus on data-sparse regions.

What you'll work on
· Build and operate a cycling data assimilation pipeline for our operational forecasting models, and produce the high-resolution gridded products it enables downstream.
· Choose, deploy, and adapt a modern DA framework (e.g. JEDI/UFO, GSI, DART, PDAF) for our regional and global needs.
· Develop observation quality control, bias correction (VarBC), and thinning workflows that hold up at operational data volumes and degrade g

📌 Weather Data Scientist (New Delhi)
🏢 Pravah
📍 New Delhi