Job Description

Our Company
At nurture.farm we are putting the farmer at the center of everything we do. We are building a more resilient and sustainable farming ecosystem by reducing risks and improving the quality of life for the farmers and their families through digitization of the farming life cycle, financial inclusion of the farming community, and affordable timely access to products, technologies, advisory and services. We are a technology-led organization, focused on bringing scalable and sustainable.


Addressing GHGs emissions is a key global problem; the reduction of GHGs emissions is a vital step in limiting global projected surface temperature up to 2\xc2\xb0 C to meet the goals outlined in COP26. Our passion lies in solving this global crisis by working with our customers and partners to bring about sustainable transformation of farming practices by making this economically viable for the grower through the implementation of sustainable carbon capturing potential at farm.


What you will do

• 
  Work closely with Carbon team to identify value and business needs related to soil carbon modelling and translate them into concrete data science problem statements
• Work closely with our agronomy, product, data science and engineering teams to build operational, state of the art soil carbon monitoring systems
• Bring academic research, technology and practical experience together to drive soil modelling strategy forward
• Rapidly prototype and iterate to build production ready solutions that scale
• Tune your models efficiently and write clean and interpretable code
• Execute a variety of business-critical initiatives driven by our Solution teams through developing, testing and implementing data analytics and algorithmic solutions
• Participate in the full life cycle of solutions, from early-stage rapid prototyping through to scaled implementation and continuous improvement after initial launch

• MS/PhD in Agriculture/Environmental/Soil Science, or Computer science, Machine Learning, Applied Math, Statistics, Physics, or similar;
• Min 5 years of experience in applied data science, analytics or similar role, working on soil carbon modelling systems;

• Expertise in working with relevant soil carbon models (e.g., Century/RothC/DNDC/DSSAT/APSIM) is critical
• Preferred experience in monitoring networks (incl. the development of methodologies for the sampling design, stratification, soil sampling and lab analyses protocols)
• Experience with remote and proximal sensing datasets is a plus
• Highly proficient and experienced in scripting languages such as Python and R, statistical and modelling packages, and rapid prototyping, with ability to write clean, sharable and efficient code
• You are an effective communicator of technical concepts to both technical and non-technical resources
• Pragmatic, solution driven and technology agnostic. You focus on results, and get things done.
• Prior agricultural experience is an advantage, especially in a commercial context