Senior Data Scientist – Remote-Sensing

Contenu de l'offre Senior Data Scientist – Remote-Sensing chez EarthDaily Agro

Summary

EarthDaily Agro is looking for a Senior Data Scientist – remote-sensing to join its R&D team and design added-value analytics based on remote-sensing data, namely high to low-resolution optical satellite imagery and weather and including data coming from the forthcoming EarthDaily constellation.

About us

EarthDaily Agro provides space age data and analytics to the organizations and people who feed the planet!

With 35 years of industry experience, EarthDaily Agro provides customers with the data, analysis and knowledge they need to make more efficient and effective decisions. B2B services range from global risk management and monitoring of agricultural commodities to the marketing of inputs and precision agriculture consulting, using the latest research in agronomy, information technologies and remote sensing.

EarthDaily Agro also develops highly customized business solutions for agricultural lenders, insurers, input suppliers and food companies, with easy-to-use analytics, that help reduce the daily risks of agriculture.

EarthDaily Agro is headquartered in Minneapolis, MN, USA, with offices in France, Brazil, Australia and Switzerland and is a division of EarthDaily Analytics Corp.

EarthDaily Analytics Corp., a vertically-integrated data processing and analytics company, is launching a new constellation of earth observation satellites. The EarthDaily satellite constellation will significantly enhance geospatial analytics capabilities in agriculture, forestry, environment, financial services, and intelligence, among many other verticals.

Main Job Tasks and Responsibilities

Agriculture is facing unprecedented challenges: climate change induces higher risks, and farmers need to maintain or increase productivity while reducing their environmental impact. Join EarthDaily Agro to contribute to de-risk agriculture with technology! EarthDaily Agro is looking for a Senior Data Scientist – remote-sensing to join its R&D team and design added-value analytics based on remote-sensing data, namely high to low-resolution optical satellite imagery and weather and including data coming from the forthcoming EarthDaily constellation (daily, 22 spectral bands).

Your responsibilities inlcude:

You will set up cutting-edge solutions for innovative projects needing strong skills in data analysis and machine learning, in the context of a large volumes of data. Handling the development of POCs and pilots, you will define/test/validate and specify appropriate algorithms. You will be actively involved with our data engineers for the operational deployment of your models on our cloud platform. You will propose collaborations with international scientists and monitor the latest scientific and technological progress of interest.

Your missions will be to:

Understand customer and business challenges and translate them into scientific problems Create and implement models based on state-of-the-art methodologies to extract relevant information and value from large volumes of data Be proactive in feeding new ideas into the Innovation Pipeline Apply project management skills to research subjects to master scope, budget and timing, and produce qualitative specifications and documentation Work with our international teams (more than 6 nationalities), especially creating the link between U.S. sales and support teams and Research and Development teams Write scientific supports rendering results, use conditions, and argue the implemented solution in a pragmatic approach Work collaboratively with cross-functional teams on ideation phases or feasibility studies, and with IT teams on industrialization / operational deployment Contribute to defining our data and technology strategy

Education, Knowledge and Abilities

PhD in remote sensing or related area At least 5 years of experience in remote sensing and agriculture-related projects, experience in a private company appreciated Expertise in signal and image processing, experience with SAR imagery is a plus Highly proficient in Python (or capacity to switch to), knowledge in GIS (QGIS, GDAL/OGR) Knowledge of machine learning and deep learning libraries (Scikit-learn, Pytorch, TensorFlow…), version control systems (git) appreciated Proficient communication skills and ability to work in a diverse team setting. Capacity to handle short timelines Fluent in English (oral and written): meetings with clients and internal are mostly in French, Portuguese, or Russian is a plus You are curious and creative, collaborative, and adaptable? Join us!

Conditions

Permanent, full-time job to start as soon as possible.

Job is based in Balma (Toulouse area), France. Possibility of partial remote work 2 days per week.

Applications

If you are looking for an exciting career in AgTech with a young, dynamic team and global opportunities, join us!

Please send your resume and cover letter to careers@geosys.com with the reference DataScientist Senior/R&I-02/2022.