Cargill Senior Data Scientist in Geneva, Switzerland

Senior Data Scientist

Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience. We have 150,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.


Job location(s): Schiphol, The Netherlands; Mechelen, Belgium

Do you want to work at the forefront of artificial intelligence and agriculture? Cargill has a significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. This position will be part of the Engineering R&D team and will bring strong quantitative trading skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, computer vision, machine learning, and statistical analysis, to develop trading solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive excellence, operational efficiency, sourcing and procurement, supply-chain optimization to trading and financial analysis.

Major Tasks

  • Develop and code trading models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.

  • Design strategies and propose trading algorithms to analyze and leverage data from existing as well as new data sources.

  • Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at Cargill to improve business decisions.

  • Network with business stakeholders and commodities traders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.

  • Lead a cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables on-time and within budget.


  • Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.

  • Minimum 6 years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills.

  • In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.

  • Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools.

  • Minimum 2 years experience working in a trading environment (commodities markets preferred but any futures trading experience is relevant)

  • In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.

  • Experience in software development environment, Agile, and code management/versioning (e.g. git).

  • Strong SQL skills and experience/knowledge.

  • Ability to understand complex and ambiguous business needs and applying the right tools and approaches.

  • Must be curious, self-motivating, driven and have a passion for problem solving.

  • Collaborative team player.

  • Excellent communication skills, both written and verbal.

  • Experience developing and testing machine learning and/or statistical projects.

  • Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way.

Our Offer

In return for your expertise and commitment, we will provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Interested? Then make sure to send us your CV and cover letter in English today.

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Job Research and Development

Primary Location Netherlands-NH-Schiphol

Other Locations Belgium-VAN-Mechelen, Switzerland-GE-Geneva

Schedule Full-time

Job Type Standard

Shift Day Job

Req ID: BER00477