We are looking for an experienced SME – Agri / Crop Science & Crop Modelling to provide technical leadership for scalable crop intelligence, monitoring, yield forecasting, stress/risk assessment, advisories, and decision-support solutions by integrating crop, weather, soil, field, satellite, and geospatial data.
##### Key Responsibilities:
* Lead the development, application, calibration, and validation of crop models such as DSSAT, APSIM, AquaCrop, WOFOST, or equivalent for crop monitoring, yield estimation, forecasting, and advisories.
* Develop methodologies for crop stress/risk assessment, drought and climate-impact analysis, productivity estimation, and loss assessment.
* Integrate field/CCE and yield data, weather, soil, satellite indicators, and geospatial datasets into crop modelling and agricultural analytics workflows.
* Apply Python/R, statistical modelling, data analytics, and machine-learning techniques to develop scalable agricultural solutions.
* Collaborate with GIS, remote sensing, data science, engineering, and product teams to operationalize crop models and analytics.
* Translate scientific insights into dashboards, advisories, crop monitoring platforms, and decision-support systems.
* Lead technical engagements with clients, government agencies, research institutions, and agricultural stakeholders, converting requirements into practical and scientifically robust solutions.
* Support research, PoCs, pilots, proposals, technical documentation, and new agriculture/climate-tech initiatives, while mentoring junior technical teams.
##### Skills and Experience :
* **8+ years**of relevant experience in agronomy, crop science, crop modelling, agricultural analytics, or climate-smart agriculture, with strong knowledge of crop physiology, phenology, crop calendars, crop management, and soil-water relationships.
* Strong expertise in DSSAT, APSIM, AquaCrop, WOFOST, or equivalent crop modelling platforms, including model parameterization, calibration, validation, sensitivity analysis, and uncertainty assessment.
* Experience in crop stress/risk assessment, drought and climate-impact analysis, and large-scale agricultural applications.
* Proficiency in Python and/or R, statistical modelling, data analytics, and machine learning, with experience handling agricultural datasets.
* Strong understanding of IMD, ERA5, CHIRPS, soil, CCE/yield, field, satellite, GIS, and remote-sensing datasets, including NDVI, LSWI, EVI, and related crop indicators.
* Strong technical leadership, problem-solving, stakeholder management, communication, and mentoring skills.
* Experience working with government agencies, research institutions, agriculture, or climate-tech organizations is preferred.
##### KPIs:
* **Crop Model Performance:** Accuracy, calibration, validation, and successful deployment of DSSAT, APSIM, AquaCrop, WOFOST, or equivalent models.
* **Crop Intelligence & Risk:** Effective crop monitoring, yield forecasting, stress, drought, climate-impact, risk, productivity, and loss assessment.
* **Data Quality & Integration:** Accurate integration and validation of field/CCE, yield, weather, soil, satellite, and geospatial data.
* **Solution Delivery:** Timely delivery of scalable crop intelligence, advisories, dashboards, and decision-support solutions.
* **R&D & Innovation:** Successful delivery of PoCs, research initiatives, new methodologies, and improvements in agricultural analytics.
* **Technical & Client Leadership:** Effective stakeholder engagement, technical decision-making, domain guidance, and client satisfaction.
* **Cross-functional Collaboration:** Successful coordination with GIS, remote sensing, data science, engineering, and product teams.
* **Documentation & Compliance:** Timely, accurate technical documentation, validation reports, proposals, and project deliverables.
* **Team Development:** Mentoring, knowledge sharing, and capability building within agronomy and crop-modelling teams.
* **Project Delivery & Quality:** Completion of technical deliverables within timelines while maintaining scientific and project standards.
Deep-tech Work India