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
8 h
Software Engineer II, Geo
Google —Zürich, ZH
- 100%
- Java
- Niveau Master
- C++
il y a 5 jours
Software Developer - Beam Optics (BE-ABP-LNO-2026-132-GRAP)
CERN —Genève, GE
- De 6 372 CHF à 7 004 CHF par mois
- 100%
- Travail hybride
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
Postuler rapidement
il y a 7 jours
Graduate Business Analyst for Trading and Treasury
Leonteq AG —Zürich, ZH
- 100%
- Microsoft Excel
- Anglais
- Niveau Master
il y a 7 jours
Data Science PhD Intern, 2027
Google —Zürich, ZH
- 100%
- Niveau Doctorat
- Analyse de données
- Anglais
8 h
Computational Physicist for Accelerators (BE-OP-SPS-2026-135-GRAP)
CERN —Genève, GE
- De 6 372 CHF à 7 004 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Analyse de données
- Formation sur place
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il y a 5 jours
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Equity Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
- Analyse de données
- Niveau Master
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il y a 4 jours
De-Fi Engineer
G-20 Group —Zürich, ZH
- 100%
- Informatique
- Anglais
- C++
Postuler rapidement
il y a 4 jours
Head of Protocol - Arkiv
Golem Network —Home Office
- 100%
- Télétravail
- Bases de données
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Index Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
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Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Niveau Licence
- Sans diplôme d'enseignement supérieur
- Congé parental payé
- Caisse de pension
Gold and Precious Metals Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
- Analyse de données
- Niveau Master
Postuler rapidement
il y a 4 jours
Senior HPC AI Cluster Engineer
NVIDIA —Zürich, ZH
- 100%
- Windows
- AWS
- Scripting
Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Bâle, BS
- 100%
- Télétravail
- Niveau Master
- Niveau Licence
- JavaScript
- Congés payés
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Lead Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
- Salesforce
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- JavaScript
Senior Software Engineer (Java) - Remediation Agent
SonarSource —Genève, GE
- 100%
- Java
- Niveau Master
- AWS
Pre-Sales Engineer
Develocity —Home Office
- Télétravail
- Niveau Licence
- Sans diplôme d'enseignement supérieur
- Compétences en communication
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Senior Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Java
- JavaScript
Customer Success Engineer - German Speaker (Switzerland)
Deepgram —Suisse
- De 140 000 CHF à 175 000 CHF par an
- Heures supplémentaires
- Télétravail
- Python

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python developer jobs near switzerland

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 8 heures

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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