Senior Data Scientist

1 day ago

Madurai, Tamil Nadu, India beBeeEnvironmental Full time ₹ 15,00,000 - ₹ 20,00,000
Job Opportunity for Environmental Modelling Expert

We are seeking a highly skilled environmental modelling expert to join our team. The successful candidate will be responsible for developing, implementing, and maintaining components of the Agricarbon Ecosystem Model (AEM) using Python.

Responsibilities:
  • Model Components & Integration: Work with agricultural ecosystem models (AEM) including plant growth models (LINTUL-5, LINGRA), soil organic carbon models (RothPC, RothPC-N), soil water models, mineral nitrogen models, and grazing models.
  • Model Integration: Implement and maintain the integration between different AEM components, ensuring seamless data flow between plant growth, soil carbon, water, nitrogen, and livestock models within the Bayesian data assimilation framework.
  • Technical Development: Contribute to the development and maintenance of the Bayesian data assimilation framework that underpins the AEM, ensuring robust uncertainty quantification and model calibration.
  • Model Development: Configure, run, and extend existing model components such as LINTUL-5 (arable crops), LINGRA (grass), RothPC-N (soil organic carbon and nitrogen), develop Python implementations that maximise the benefit of our access to the world's largest soil carbon database.
  • Machine Learning Integration: Evaluate and implement machine learning and statistical models using Python libraries to enhance overall accuracy and predictive power, potentially as part of ensemble modelling approaches.
Requirements:
  • Advanced Programming Skills: Extensive experience in Python programming for data science and environmental modelling, including proficiency with scientific libraries (NumPy, SciPy, Pandas, scikit-learn, GeoPandas) and Bayesian statistical libraries (PyMC or similar).
  • Environmental Modelling Experience: Proven experience developing and working with ecosystem models or related areas.
  • Data Science Proficiency: Extensive experience with machine learning techniques and their application to environmental data, including model validation and statistical analysis.
  • Code Quality Focus: Experience with software development best practices including version control (Git), testing frameworks, and code documentation.
  • Problem-Solving Skills: Excellent analytical and problem-solving abilities with extreme attention to detail and a rigorous approach to model development.
Benefits:
  • Potential for professional growth and development in a dynamic field.
  • Opportunity to work on high-profile projects with significant impact on environmental policy and decision-making.
  • A collaborative and supportive work environment.

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