Stagiaire Data Scientist H/F
Saint-Sauveur, France
Syngenta Group
Company Description
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.Job Description
We are currently looking for a:
Data Scientist intern for a 6 month-internship starting between March and May
You will be part of our international Computer Vision team working on global R&D activities, more precisely involved in many crop monitoring projects using multispectral satellite images. To characterize potentials and anomalies on a large scale, we use state-of-the-art machine learning and deep learning tools on spatio-temporal data while ensuring that we can deliver a final tool for our customers.
The position offered is a 6-month internship contract based in France / Saint-Sauveur (31).
Starting date : Between March and May 2023.
INTERN WILL LEARN AND BE EXPOSED TO:
- Our global Advanced Analytics & Data Science (A&DS) team, agronomists, and technology experts.
- Be involved in a community of best practices in Python code development
- Study advanced methods in machine learning and deep learning, independently and/or with the support of one of our experts for the most difficult subjects
- Work with remote sensing and large-scale geospatial data in a cloud-based environment for crop monitoring
MISSIONS:
- Satellite Image Time Series (SITS) analysis for crop monitoring.
- Work in collaboration on internal modules developed in python
- Conduct experiments to compare the results of multiple machine learning strategies to obtain the best performance in an R&D environment.
Qualifications
- Student in Bac+4/+5 (Master 1 or 2) or equivalent level in Statistics, Applied Mathematics, Computer Science, or related subjects.
- Some examples of applications on real-word problems (personal or scholar projects) are a plus.
- Research-oriented, detail oriented, autonomous, self-motivated, and curious.
- Have experience developing machine learning projects in Python. Knowledge of libraries like numpy, scipy, scikit-learn and tensorflow/pythorch.
- Knowledge of geospatial and time series data processing is a strong asset.
- Demonstrated effective written and verbal communication skills (data storytelling), in both French and English.
Additional Information
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Deep Learning Machine Learning Mathematics NumPy Python R R&D Research Scikit-learn SciPy Statistics TensorFlow
Perks/benefits: Career development
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