16 beste Stellen als machine learning python in zürich, zh – aktuell auf Personalsuche

Data Scientist (m/f/d)
Sonova —Stäfa, ZH
- Doktorat
- Datenanalyse
- Englisch
4 Std.
Software Architect - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
Senior Data Scientist (w/m) 80 - 100%
NZZ-Mediengruppe —Zürich, ZH
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
19 Std.
Senior Application Engineer
u-blox —Thalwil, ZH
- Englisch
- Master
- C++
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Product Manager (AI B2B SaaS)
aspaara AG —Zürich, ZH
- Management-Erfahrung
- SQL
- Kommunikationsfähigkeit
Direkt bewerben
Senior (Gen)AI Engineer (all genders) 80–100%
ictjobs.ch —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
- Pendlerbeitrag
- Eltern-/Erziehungsurlaub
10 Tage
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
(Senior) Research Scientist in Software Systems Engineering (80-100%)
ABB Schweiz AG —Baden, AG
- Doktorat
- Systemdesign
- Englisch
Direkt bewerben
4 Tage
AIOps Transformation Lead 80-100%
Abraxas Informatik AG —Flughafen Zürich, ZH
- Homeoffice
- Management-Erfahrung
- Englisch
- Erfahrung in der IT
- Pendlerbeitrag
- Homeoffice-Möglichkeit
2 Tage
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
10 Tage
(Senior) KI-Berater (w/m/d), 80-100%
emineo AG —Baar, ZG
- Englisch
- SQL
- Führungserfahrung
Doktorand:in (PhD) - Automatische Sprachverarbeitung 100 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- 100%
- Doktorat
- Englisch
- Master
7 Tage
Senior Embedded Platform Engineer (80-100%)
ABB Robotics Switzerland Ltd —Zürich, ZH
- Teilzeit
- Master
- C++
- Python
Direkt bewerben
7 Std.
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme

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Software Architect - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
Du bist ein gestandener Software Engineer, der komplexe Cloud-Software nicht nur auf dem Whiteboard plant, sondern auch erfolgreich in den produktiven Betrieb…

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machine learning python jobs near zürich, zh

Data Scientist (m/f/d)

Sonova -
Stäfa, ZH

Jetzt bewerben

Details zur Stelle

vor 4 Stunden

Qualifikationen

Doktorat
Datenanalyse
Englisch
Master
Analysefähigkeit
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Who we are

At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them.

Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change,

Here you’ll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.

Staefa, Switzerland

Data Scientist (m/f/d)

As a Data Scientist, you will transform large-scale real-world data into meaningful insights that improve products, patient journeys, and business decisions. Working within an interdisciplinary, agile R&D environment, you will collaborate closely with engineers, product managers, product marketing, and business stakeholders to develop innovative data-driven solutions for the hearing care industry. In return, you will have the opportunity to work with cutting-edge technologies, shape future MedTech solutions, and contribute to products that improve the lives of millions of people worldwide.

More about the role

Translate business and stakeholder requirements into data-driven analytics and digital solutions that support strategic decision-making.
Develop machine learning models and advanced analytics using large-scale real-world product data to enhance products, applications, and customer experiences.
Apply statistical methods and AI techniques to health-related datasets to generate actionable clinical and business insights.
Analyze user behavior and product usage data to better understand customer needs, preferences, and patient journeys.
Support the development, governance, and maintenance of data catalogues and data assets.
Collaborate closely with interdisciplinary R&D, engineering, product management, and business teams in an agile environment.
Stay up to date with the latest developments in data science, machine learning, and AI, identifying opportunities to translate innovation into product features and business value.

More about you

Master's degree in Data Science, Engineering, Computer Science, or a related field; PhD is an advantage.
4+ years of industry experience as a Data Scientist or in a similar analytical role.
Strong expertise in machine learning, statistics, predictive modelling, and data analysis.
Hands-on experience with Python, Databricks, Azure, or comparable cloud-based analytics platforms.
Experience working with large-scale datasets, data pipelines, and modern data architectures.
Experience within MedTech, healthcare, pharma, or a related scientific field such as psychology, audiology, or health sciences is highly desirable.
Strong analytical mindset with excellent communication skills and the ability to translate complex analyses into actionable recommendations for technical and non-technical stakeholders.
Passion for innovation with a strong interest in applying the latest AI developments to real-world healthcare challenges.
Fluent in English, both written and spoken.

More about what we offer

As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.

We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

Sonova is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

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machine learning python Jobs in zürich, zh

Data Scientist (m/f/d)

Software Architect - Product Recommendations (w/m/d)

Senior Data Scientist (w/m) 80 - 100%

Senior Application Engineer

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

Product Manager (AI B2B SaaS)

Senior (Gen)AI Engineer (all genders) 80–100%

Lead Kernel Engineer/Architect

(Senior) Research Scientist in Software Systems Engineering (80-100%)

AIOps Transformation Lead 80-100%

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

(Senior) KI-Berater (w/m/d), 80-100%

Doktorand:in (PhD) - Automatische Sprachverarbeitung 100 %

Senior Embedded Platform Engineer (80-100%)

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

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