Senior Environmental Modeller

2 days ago

Solapur, Maharashtra, India beBeeEcosystem Full time US$ 1,10,000 - US$ 1,35,000
Job Description

This is an exciting opportunity for a skilled environmental modeller with strong programming expertise to take on a challenging role in our team. Working alongside our Principal Soil Modeller, you will be responsible for developing, implementing, and maintaining components of the Agricarbon Ecosystem Model (AEM) using Python.

As a key member of a multi-disciplinary team, you will collaborate effectively with engineers, GIS specialists, soil scientists, quality managers, data systems experts, and the commercial team. You will also communicate technical modelling concepts and results to both technical and non-technical audiences, including partners and stakeholders.

The successful candidate will have advanced programming skills, extensive experience with Python, and proficiency in scientific libraries such as NumPy, SciPy, Pandas, scikit-learn, and GeoPandas. They will also have experience with Bayesian statistical libraries like PyMC or similar.

Required Skills and Qualifications
  • Advanced Programming Skills: Extensive experience in Python programming for data science and environmental modelling.
  • 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.
  • Code Quality Focus: Experience with software development best practices including version control, 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

The ideal candidate will have a Master's degree or PhD in Data Science, Environmental Science, Computer Science, or a related field with a strong focus on modelling and programming.

Others

Experience with cloud computing platforms, geospatial data handling, and containerisation technologies are highly desirable but not essential.

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