Role Overview

We are looking for a dynamic and exceptional Data Scientist with a track record of technical excellence and a passion for contributing to climate change, food security, and small farmer resilience some of the biggest problems of our generation. This is not a routine data role you'll be building intelligent systems that model climate interactions, optimise geo-operations, and drive decision science in high-stakes environments. The role may involve frontier AI, advanced earth sciences, and high-performance computing to scale the worlds most natural and permanent carbon removal method.

Key Responsibilities 

• Utilize advanced programming skills in Python, R, and MATLAB to manipulate, analyze, and visualize large datasets.
• Design and implement machine learning models for predictive analytics, classification, clustering, and regression tasks including using tools for satellite imagery, soil chemistry, and agronomic data.
• Architect and scale data pipelines to ingest and analyze petabyte-scale earth observation and climate datasets. Optionally lead tasks to simulate, predict, and optimize geochemical and environmental phenomena.
• Collaborate with domain experts in agronomy, earth sciences, and climate modelling to guide experimental designs and field deployments.
• Leverage GIS and spatial analysis tools to guide carbon removal operations and validate carbon sequestration.
• Publish and present technical results to both internal and external stakeholders, including scientific communities and impact funders.

Ideal Candidate Profile

• Bachelors, Masters, or PhD from IITs, IISc, or globally equivalent institutions in Computer Science, Machine Learning, Applied Math, or related fields.
• Minimum 2 years of work experience performing above or related responsibilities in a competitive reputed environment.
• Fluent in Python; comfortable with R, SQL, and cloud-based ML frameworks (e.g., Vertex AI, SageMaker).
• Strong foundation in ML, statistics, and scientific computing including hypothesis testing, regression analysis, and multivariate analysis.
• Experience with deep learning and probabilistic models is a plus.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders at all levels in a multi-cultural environment.
• Demonstrated ability to solve open-ended problems with minimal direction.
• Note: Probation period of 3 months
• Location: New Delhi or Bengaluru

Optional

• Experience with geospatial tools like QGIS, ArcGIS, and GEE; bonus for remote sensing and EO data analysis.
• Deep awareness of climate change phenomenon and critical understanding of existing and upcoming climate mitigation and adaptation solutions.
• Publication record, Kaggle ranking, or prior startup/build experience preferred.

What We Offer

• Competitive compensation and performance-based incentives.
• Benefits include health insurance, travel allowances, and provisions for annual performance bonuses.
• Opportunity to work with a globally distinguished team of technologists and scientists.
• Direct impact on one of the most scalable climate solutions.
• Work environment that values intellectual rigour, ownership, and purpose-driven innovation.

Join us in building the largest carbon removal infrastructure for the planet and address food security and small farmer challenges. If you're driven by impact, powered by curiosity, and excited to work at the intersection of AI, Climate, and Agricultural value chains, we want to hear from you.