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Date posted:  Apr 17, 2021

Bengaluru, KA, IN

Job Function:  Other
Job Type:  Permanent
Job Requisition ID:  6441

Data Scientist

We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change.

About the Unit

About the Team

There are more than 500 million smallholder farms globally. 2.5 billion people depend on Smallholder Communities for their food and livelihoods. Smallholder regions are characterized by low living standards, high rates of illiteracy and low agricultural productivity. Yara's mission is "Responsibly Feed the World and Protect the Planet". Key to achieving this is enabling thriving Smallholder Communities. At Yara, the Smallholders Digital Team is part of the Crop and Digital Solutions Unit. 

About Crop and Digital Solutions

Yara aims to be the crop nutrition company for the future and is leading the development of sustainable agriculture and digital tools to contribute to solving global agricultural challenges. We have a worldwide presence with sales teams in ~150 countries and around 17,000 employees. Yara Farming Solutions, will lead the transformation towards more sustainable and efficient food production, by innovating our offerings and the way we work. Crop and Digital Solutions is responsible developing and scaling new “on-farm” digital and integrated tools and solutions for an efficient and transparent food system.


  • Be one of our AI/Machine Learning heroes inside the Professional Markets
  • Support the establishment and streamlining of data science operations, from conceptualization to PoC and testing
  • Collaborate strongly with our agronomics and product experts to develop new and support ongoing data science projects
  • Analyze diverse datasets (soil, weather, remote sensing and crop data, …) to identify suitable hypotheses and set up appropriate tests in support of feature development and/or internal operations
  • Create pipelines for pre-processing and feature extraction
  • Build recommendation systems, Business rules engines, advanced statistical models and simulation techniques to aid in customer decision making (agronomic and other).
  • Create the procedures to enable the proper use of our data platform and the productionalization of Machine Learning models
  • Work across teams, helping to create the data culture and bringing the knowledge of the AI potential. Proactively present the information with advanced visualization techniques to the stakeholders
  • Help shape the data team and its procedures. As a member of a newly created group, there is a lot to contribute to.


  • 2 years hands-on experience in applying Machine Learning and its techniques (eg: Deep Learning, Bayesian statistics, Hidden Markov Methods, Recommendation Systems and Decision Rules). Proven track record of delivering Data Science products and Statistical models
  • Passion for disruption and delivery of the AI projects
  • Expert knowledge of Python and it's data libraries (Pandas, Keras, TensorFlow, Scikit-learn, Numpy, etc)
  • Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models.
  • Strong mathematical skills both in deterministic and probabilistic techniques. Good business acumen and analytical thinking

Additional Information

We strive to reflect the diversity in society and encourage all qualified applicants from all background to apply. We are committed to creating a work environment that fits gender equality and allows combining career progress with the needs of a family or other personal circumstances

Why us?

  • Evolving tech development division of an established agricultural products and services company.
  • Explore and develop digital, software, hardware products, which provide value to farmers, smallholder communities and the value chain.
  • Be part of our mission to build sustainable solutions that benefit humanity and the environment.
  • Full-time, permanent and freelance contract options available with competitive remuneration + benefits.
  • Support for personal development, training and continuous learning.
  • Commitment to using new technologies and frameworks, meetups, and knowledge sharing.

Apply no later than

Knowledge grows through differences
Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity & Inclusion (D&I) in our business strategy and has more than 400 employees worldwide involved in D&I ambassador networks. 

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