20 meilleures offres (python developer, switzerland) (à pourvoir)

Data Scientist (m/f/d)
Syngenta Crop Protection —Stein, AG
- 100%
- Niveau Doctorat
- Analyse de données
- Anglais
- Caisse de pension
Postuler rapidement
il y a 9 jours
AI Research Scientist/Engineer
SonarSource —Genève, GE
- 100%
- Anglais
- Recherche
- Java
Appway Developer
Rec2Tech Ltd —Vaduz, LI
- 80 CHF de l’heure
- 100%
- Gestion du personnel
- Anglais
- Java
Postuler rapidement
Developer & Business Analyst - Trading Systems
Vitol —Genève, GE
- 100%
- Télétravail
- Oracle
- Compétences rédactionnelles
- Anglais
Postuler rapidement
AI Scientist
Mistral AI —Zürich, ZH
- 100%
- Java
- Python
- Congé parental payé
CI/CD & Developer Support Engineer (w/m)
Coopérative de la Caisse des Médecins —Thônex, GE
- 100%
- Gestion du personnel
- Anglais
- Scripting
Software Engineer II, Commerce, Business Agent
Google —Zürich, ZH
- 100%
- Java
- C++
- Niveau Licence
1 h
Graduate Quant Researcher - Digital Assets
IMC —Zoug, ZG
- Télétravail
- Esprit d'analyse
- C++
- En présentiel
Software Engineer II, YouTube, Streaming Applications
YouTube —Zürich, ZH
- 100%
- Java
- C++
- Niveau Licence
SOFTWARE DEVELOPER/IN
Office im Griff GmbH —Gümligen, BE
- Anglais
- JavaScript
- Python
Quantitative Engineer – Risk Analytics
Swiss Quant —Zürich, ZH
- 100%
- Travail hybride
- Niveau Doctorat
- Niveau Master
- SQL
Postuler rapidement
Graduate Business Analyst for Trading and Treasury
Leonteq AG —Zürich, ZH
- 100%
- Microsoft Excel
- Anglais
- Niveau Master
CI/CD & Developer Support Engineer (w/m)
Ärztekasse Genossenschaft —Thônex, GE
- 100%
- Gestion du personnel
- Anglais
- Scripting
Data & Reporting Specialist (FAP-BC-DL-2026-203-GRAE)
CERN —Genève, GE
- De 5 266 CHF à 5 793 CHF par mois
- 100%
- Travail hybride
- Informatique
- Oracle
- Niveau Doctorat
- Formation sur place
Postuler rapidement
Manager Supply Chain Business Intelligence (Power BI / SQL) (m/f/d)
Adidas —Luzern, LU
- 100%
- Gestion du personnel
- SQL
- Esprit d'analyse
System Integration & Test Engineer
u-blox —Thalwil, ZH
- Télétravail
- Gestion du personnel
- Schémas
- Expérience en laboratoire
il y a 8 jours
Member of Technical Staff – AI Inference platform, features
Lyceum —Zürich, ZH
- 100%
- Technologies de l'information
- Python
Postuler rapidement
Ingénieur/e en systèmes informatiques (1305 & 1306)
Administration fédérale - Département fédéral des finances DFF —Zollikofen, BE
- Anglais
- Python
AI Researcher - Post-Training
SonarSource —Genève, GE
- 100%
- Niveau Doctorat
- Anglais
- Recherche
System Integration and Test Engineer
CASCINATION AG —Berne, BE
- 100%
- Anglais
- Scripting
- Compétences en communication
Postuler rapidement

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Data Scientist (m/f/d)

Syngenta Crop Protection -
Stein, AG

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 9 jours

Avantages

Cafétéria du personnel
Caisse de pension
Allocation familiale

Qualifications

Niveau Doctorat
R
Analyse de données
Git
Anglais
Niveau Master
SQL
Esprit d'analyse
Linux
Python

Description complète du poste

Company Description

At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.

Syngenta has been ranked as a top employer by Science Magazine, and it has been awarded with the "Friendly Work Space" label to all its Swiss sites.

Job Description

We are seeking a highly skilled Data Scientist (m/f/d) with deep expertise in developing multi-omics data integration and machine learnings methods, to join our Digital & Data Science Group in Biologicals Research. Biologicals research discovers, characterizes, optimizes and produces novel biologicals. Biologicals are derived from nature. They can be naturally occurring microbes, extracts or molecules protecting plants from pests and diseases or improving plant and soil health.
Within this role you will work on Syngenta ‘omics data to identify patterns in product performance and make predictions. You will be asked to develop methods to analyze and interpret the outcome of ‘omics experiments with your analytical skills as well as machine learning approaches. Your work will result in new tools to guide selection, optimization and development of novel Biologicals solutions.

Key responsibilities will include:

Develop and implement new multi-omics integration strategies (e.g., data harmonization, feature engineering, network-based methods) to strengthen biological interpretation and hypothesis generation
Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from complex, high‑dimensional, multi‑omics datasets
Curate, quality control, and integrate large scale ’omics datasets, ensuring data integrity, reproducibility, and downstream analytical readiness
Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences
Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses
Work collaboratively to deliver new approaches, share learnings, and drive innovation in digital and data science including technology foresight
Work with R&D IT and software developers to deploy predictive model applications tailored to stakeholder needs
Support business users with change management initiatives to manage data more effectively

Qualifications

MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with some experience in natural sciences (e.g. chemical biology, microbiology, ecology, environmental sciences)
3+ years developing multi-omics integration methods for complex biological, biochemical, environmental, or agricultural datasets
Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL
Experience with proteomics and metabolomics data analysis would be an asset
Dynamic personality with passion for innovation and problem-solving

Additional Information

We offer a variety of financial and non-financial benefits including:

- A position which contributes to valuable and impactful work in a stimulating and international environment
- A superb working environment with an open culture and diverse workforce where new ideas are always welcome
- The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
- Learning culture (Together we Grow) and wide range of training options
- You will profit from a competitive pension fund plan, flexible working, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits such as Family friendly initiatives, Child and Family allowance

Please send your complete application with CV, a motivation letter that highlights your motivation and relevant experience for this position, diploma and work certificates (if applicable) in English. Additionally, we welcome access to git repositories showcasing relevant past projects. We will only consider applications that contain CV and motivation letters.

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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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer (switzerland)

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