Location: Delhi NCR, India (Hybrid)
Employment Type: Full-Time
Company: Takachar

ABOUT USTakachar develops small-scale, low-cost, portable thermochemical reactors that convert agricultural and forestry residues into valuable bioproducts, including biochar and fuels. Our technology makes it possible to process biomass closer to where it is generated, creating economic opportunities for rural communities while reducing open burning, air pollution, and wildfire risks. We have deployed our technology in real-world operating environments and are now working to make our next generation of reactors more intelligent, adaptable, and productive through advanced data science and machine learning. Our work sits at the intersection of climate technology, physical sciences, artificial intelligence, and real-world engineering.

THE OPPORTUNITYWe are looking for a hands-on principal data scientist to lead the development of data-driven intelligence and optimization capabilities for our thermochemical reactor technology. Unlike conventional AI applications built on large, clean datasets,



our systems operate in complex physical environments with variable feedstocks, imperfect measurements, and operational constraints. The challenge is to translate experimental and operational data into reliable predictions, actionable insights, and improved process performance.

You will work at the intersection of machine learning, statistical modeling, physical sciences, and engineering. We are particularly interested in candidates who enjoy solving difficult, open-ended technical problems and who can exercise sound judgment about when sophisticated AI methods are justified—and when simpler approaches work better.

This is a role with substantial ownership. You will help determine not only how technical problems are solved, but also which problems are worth solving.

WHAT YOU WILL OWN1. Applied AI/ML and Predictive Modeling• Develop and validate predictive models linking reactor operating condition

📌 Principal Data Scientist (India)
🏢 Takachar
📍 India