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
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Software Engineer III, Open Cloud Networking
Google —Zürich, ZH
- De 106 000 CHF à 108 000 CHF par an
- 100%
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il y a 5 jours
Solutions Architect
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
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Backend Engineer (VPN)
Proton AG —Genève, GE
- De 53 000 CHF à 104 000 CHF par an
- De garde
- SQL
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il y a 1 jour
Equity Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
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- Niveau Master
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De-Fi Engineer
G-20 Group —Zürich, ZH
- 100%
- Informatique
- Anglais
- C++
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Tribe Lead Data Warehouse (m/f/d)
Allianz —Wallisellen, ZH
- 100%
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Lonza —Bâle, BS
- 100%
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Senior Quality Assurance Engineer
Crypto Finance AG —Zürich, ZH
- 100%
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Senior Security Engineer, Exploits, Google Threat Intelligence Group
Google —Home Office
- De 128 000 CHF à 131 000 CHF par an
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Lead Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
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Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Julius Baer —Zürich, ZH
- Gestion du personnel
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il y a 1 jour
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
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IBM STOREDIQ ARCHITECT ( FULLY REMOTE CONTRACT)
Ubique Systems —Zürich, ZH
- Télétravail
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Gold and Precious Metals Options Trader
G-20 Group —Zürich, ZH
- 100%
- Microsoft Excel
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Consultant Snowflake DBT
Talan —Genève, GE
- 100%
- Anglais
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HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
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Senior Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Java
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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 6 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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