Data Scientist - Smart Data Agriculture

QuantCube Technology uses artificial intelligence and big data analytics to deliver real-time macro-economic insights since 2013.

The firm operates one of the largest alternative data lakes in the world, processing more than 14 billion data end points. Sources encompass news, social media, satellite data, professional networks and consumer reviews, as well as shipping and flight traffic.

QuantCube’s macroeconomic indicators, which include economic growth, inflation, employment and international trade, correlate highly with official data and significantly beat the consensus. Financial institutions using QuantCube data benefit from real-time insight, often ahead of official numbers, which they can use to inform their investment strategies.

Headquartered in Paris, QuantCube employs a diverse international team with expertise in multilingual NLP, deep learning and machine learning techniques. The company’s shareholders include Moody’s and Caisse des Dépôts and its R&D in computer vision has been partially funded by the European Space Agency (ESA) and French government space agency (CNES).

QuantCube Technology has set up a unique data warehouse hosting billions of heterogeneous and alternative data from various sources, which provide excellent opportunities for data mining and calibrating any AI models.

Therefore, the aim of the R&D team is to be at the forefront of the state-of-the art of algorithms associated with high-performing computing in the computer vision field.

• Within the Computer Vision team, the objective is to add the impact of extreme climatographic events, such as flood and extreme draughts to the algorithms making food crops yields predictions.
• You will have to work on the state-of-the art algorithms for climatic extreme events’ predictions, based on multiple data sources, and food crops yields predictions using meteorological images as well. For this purpose, you will adapt, develop and implement machine-learning algorithms to fill those objectives.

Because of the few R&D projects involving public R&D labs on this topic, the mission could request interactions with researchers of this field from other institutions.

• Mastery of Machine Learning models for classification and regression (Random Forest, decision trees, clustering)
• Know how to use models to deal with Time Series (ARMA, VAR…)
• Strong interest in Economics and Finance
• Programming language: Python
• Good level of English

What we offer:

You will have the opportunity during these missions to quickly evolve in responsibility, to communicate directly with our Technology and Data Science teams who are at the forefront of their field, to participate in the life of the company thanks to the various exchanges with the Operational team, to talk about cooking or video games during lunch…

Yes, in addition to a nice location (2nd arrondissement of Paris, Grand Rex district), the team is really nice !

1. Meet the HR and Lead
2. Meet 2 members of the Computer Vision Team
3. Meet the co-founders

QuantCube recruits and recognises all talents.