20 meilleures offres (data engineer, muttenz, bl) (à pourvoir)

Data Scientist (100%)
MDPI Switzerland —Bâle, BS
- 100%
- Informatique
- Niveau Doctorat
- Anglais
Automation Engineer/Project Engineer: Digital Manufacturing and Data Lab 100% (a)
Bachem Holding AG —Bubendorf, BL
- 100%
- Recherche
- Windows
- Niveau Licence
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- 100%
- Niveau Doctorat
- Analyse de données
- Java
Machine learning engineer (computer vision)
Swiss Biotech Association —Bâle, BS
- Télétravail
- Niveau Doctorat
- Anglais
- Compétences en communication
Project Engineer
Ecolab —Witterswil, SO
- 100%
- Anglais
- Niveau Licence
- Compétences en communication
- Opportunités de carrière
Linux Systems Administrator (80-100%)
Universität Basel —Bâle, BS
- Anglais
- Recherche
- Scripting
- Formation continue
il y a 12 jours
Scientist, Cell Engineering and Phenotypic Screening Models
Roche —Bâle, BS
- 100%
- Niveau Doctorat
- Analyse de données
- Anglais
Software Engineer - Frontend focus
Adobe —Bâle, BS
- 100%
- Bar
- Niveau Licence
- JavaScript
Intern Digital Engineer
Huntsman —Bâle, BS
- 100%
- Analyse de données
- Anglais
- Niveau Master
Process Field Engineer (m/f/d)
Exyte GmbH —Bâle, BS
- Gestion du personnel
- Anglais
- Construction et rénovation
Project Manager Engineering
Thermo Fisher Scientific —Allschwil, BL
- 100%
- CAD
- Anglais
- Microsoft Office
Engineering Office Manager
Alfa Laval —Allschwil, BL
- 100%
- Anglais
- Microsoft Office
- Niveau Master
Agentic Outcome Engineer
Adobe —Bâle, BS
- 100%
- Bar
- Niveau Master
- Niveau Licence
Process Engineer Fill & Finish (m/f/d)
Exyte GmbH —Bâle, BS
- Gestion du personnel
- Anglais
- Niveau Master
IT/OT Network & Infrastructure Engineer (a), 80-100%
Bachem Holding AG —Stein AG, AG
- Télétravail
- Gestion du personnel
- Anglais
- Recherche
- Caisse de pension
PI Data Historian, Integration System Engineer (a) 80 - 100%
Bachem Holding AG —Stein AG, AG
- Télétravail
- Anglais
- Recherche
- Esprit d'analyse
- Caisse de pension
Process Field Engineer (m/f/d)
Exentec —Bâle, BS
- Gestion du personnel
- Anglais
- Construction et rénovation
Engineer Process (m/f/d) - Chemical Engineering
Exyte GmbH —Bâle, BS
- Conception de systèmes
- Anglais
- Microsoft Office
Innovation Chemical Laboratory Technician
Ecolab —Witterswil, SO
- 100%
- Anglais
- Niveau Licence
- Compétences en communication
- Opportunités de carrière
AI Platform System Engineer
Bank J. Safra Sarasin AG —Bâle, BS
- 100%
- Informatique
- Anglais
- Esprit d'analyse

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Data Scientist (100%)

MDPI Switzerland -
Bâle, BS

Soumettre votre candidature

Détails de l'emploi

100% | Stage

Avantages

Événements de team building

Qualifications

Informatique
Niveau Doctorat
Anglais
Niveau Master
Niveau Licence
Mentorat
Leadership
Compétences en communication
Python

Description complète du poste

Are you passionate about turning complex data into intelligent, production-ready solutions while supporting the future of open-access science? We are looking for a Data Scientist to join our team and help design, develop, and deploy advanced machine learning solutions that power intelligent, data-driven products. This role focuses on NLP, recommender systems, and agentic LLM workflows, turning complex business challenges into scalable and impactful analytical solutions.

This is an opportunity to work at the forefront of machine learning and AI, contributing to innovative systems that leverage state-of-the-art research in practical applications.

As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.

Core Responsibilities

Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions.
Translate business problems into data-driven approaches and scalable analytical solutions.
Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling.
Develop, optimize, and benchmark models using appropriate metrics and validation strategies.
Build and experiment with LLM-powered systems, including agentic workflows and RAG.
Investigate, reproduce, and compare research prototypes and state-of-the-art methods.
Collaborate with engineering teams to support the integration of models into production.
Monitor and analyze model performance and iterate to improve accuracy and robustness.

Additional Responsibilities

Supervising Master/ Ph.D. students when there are trainees in the team.
Representing the company in e.g. attending conferences, writing scientific articles.

Requirements

Bachelor’s degree/ Master's degree in Computer Science or related.
2-5 years of experience as a Data Scientist.
2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs.
Strong background in data science, statistics, and analytical problem-solving.
Intermediate proficiency in FastAPI, Celery, and Keycloak.
Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER).
In-depth understanding of Artificial Intelligence principles.
Strong working knowledge of Microsoft O365 tools.
Excellent written and spoken English.
Excellent communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
Ability to work effectively both independently and as part of a team.

Nice to have

PhD in Computer Science or related.
Leadership skills with the ability to mentor and guide junior engineers and interns.

What we offer

The opportunity to contribute to the academic/scientific community;
Flexible working hours;
Team bond strengthening through team-building events;
Professional growth opportunities with our global training system;
Working in a collaborative and socially responsible team;
Company retreat facility;
Full-coverage insurance for accidents/daily sickness;
Prime location near Basel train station and city center;
And more.

If you are interested in this position, we look forward to receiving:

A motivational letter (EN) that briefly describes your motivations for joining MDPI;
A resume (EN) including personal information, past & current education;
Copy of ID and Diplomas;
If available: reference letters and certificates.

About MDPI

Headquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. To date, MDPI has published the works of over 4.5 million researchers, collaborating with an extensive network of academic institutions and scientific societies worldwide. Above all, MDPI is committed to ensuring that high-quality research is freely accessible to readers across the globe.

Initiatives

At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms:

https://www.mdpi.com
https://www.mdpi.com/books/
https://sciprofiles.com
https://sciforum.net
https://www.scilit.net
https://www.preprints.org
https://encyclopedia.pub

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data engineer emplois - muttenz, bl

Data Scientist (100%)

Automation Engineer/Project Engineer: Digital Manufacturing and Data Lab 100% (a)

R&D Scientist – Scientific Data Analytics (d/f/m)

Machine learning engineer (computer vision)

Project Engineer

Linux Systems Administrator (80-100%)

Scientist, Cell Engineering and Phenotypic Screening Models

Software Engineer - Frontend focus

Intern Digital Engineer

Process Field Engineer (m/f/d)

Project Manager Engineering

Engineering Office Manager

Agentic Outcome Engineer

Process Engineer Fill & Finish (m/f/d)

IT/OT Network & Infrastructure Engineer (a), 80-100%

PI Data Historian, Integration System Engineer (a) 80 - 100%

Process Field Engineer (m/f/d)

Engineer Process (m/f/d) - Chemical Engineering

Innovation Chemical Laboratory Technician

AI Platform System Engineer

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data engineer (muttenz, bl)

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