20 beste Stellen als data scientist in hard zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
12 Tage
Senior Data Scientist, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- CHF 232’000 - CHF 252’000 pro Jahr
- 100%
- Datenanalyse
- Master
3 Tage
Research Software Engineer, Generative AI
Google —Zürich, ZH
- 100%
- Doktorat
- C++
- Bachelor
Bioimage Analyst
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
3 Tage
Software Engineer, Data Infrastructure & Acquisition - Zurich, Switzerland
Speechify —Zürich, ZH
- Homeoffice
- Doktorat
- Master
- Scripting
11 Tage
Software Engineer - Simulation
Flexion Robotics —Zürich, ZH
- Python
Direkt bewerben
Quant DevOps Engineer
SCOR —Zürich, ZH
- Bereitschaftsdienst
13 Tage
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Informatik
- Englisch
- Java
Business Analyst / Requirements Engineer
Sika —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Projektmanagement
Lead - Technology Product Manager
On AG —Zürich, ZH
- Erfahrung in der IT
- Führungserfahrung
Senior Scientist Upstream Process Development (MSAT)
Swiss Biotech Association —Wädenswil, ZH
- Teilzeit
- Homeoffice
- Doktorat
- Datenanalyse
- Laborerfahrung
Scientific Education Developer, Cradle Academy
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Datenanalyse
- Master
Machine Learning Systems Engineer
Tether Operations Limited —Zürich, ZH
- 100%
- Homeoffice
- Informatik
- Systemdesign
- Englisch
7 Tage
PhD in Network Science: Modeling of Animal Networks
Universität Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
- Weiterbildungen
Research Intern - Machine Learning and Natural Language Processing (PhD)
Thomson Reuters —Zug, ZG
- 100%
- Doktorat
- Forschungserfahrung
- AWS
- Homeoffice-Möglichkeit
Earth Systems Data Manager (Petabyte-Scale Infrastructure)
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Forschungserfahrung
- Qualitätskontrolle
AI Enablement & Transformation Spezialist (m/w/d) (60-100%)
Vitodata AG —Seuzach, ZH
- Homeoffice-Möglichkeit
(Senior) Scientist in Converter-Based Distribution Systems (80 - 100%)
ABB —Baden, AG
- Doktorat
- Laborerfahrung
- Englisch
AI Research Engineer - RL Manipulation
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Python
Direkt bewerben
Postdoctoral position – Co-evaluating bio-inputs for Smallholder Farmers in Kenya
ETH Zürich —Zürich, ZH
- 100%
- Management-Erfahrung
- Doktorat
- Datenanalyse

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 12 Tagen

Qualifikationen

Forschungserfahrung
Master
Analysefähigkeit
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

The Personalized AI for Science (PAIS) team is at the forefront of machine learning and health science at Apple. We are a close-knit team of deeply technical AI/ML research scientists who incubate ambitious research ideas and develop new statistical/ML methodologies, ultimately in service of new Apple health and wellbeing applications. We are seeking a research scientist who combines deep learning (and/or signal processing) experience with a rigorous foundation in statistics. The ideal candidate is passionate about model robustness and scientific rigor, ensuring that the models we deploy meet the high evidentiary standards required of health applications.

Description
In this role, you will design, train, and adapt modern deep learning models on unique health data, and apply your statistical expertise to evaluate them rigorously - going beyond aggregate accuracy to interrogate model behavior across populations, distributional shifts, and clinically meaningful subgroups. You will be expected to engage substantively with health as an application area, developing the domain knowledge needed to ask the right modeling questions and evaluate models against the realities of clinical and wellbeing use. You will work closely with collaborators across research and product teams, and contribute to features that ultimately reach a billion Apple devices worldwide.","responsibilities":"Designing, training, and adapting modern deep learning models and architectures on large-scale physiological and behavioral data
Designing rigorous evaluation protocols, including subgroup analyses, robustness to distributional shifts, and characterization of failure modes
Applying statistical methods (hypothesis testing, uncertainty quantification, causal inference, survival analysis) to draw defensible conclusions from observational health data
Translating clinical and product questions into well-posed problem definitions
Engaging with the academic community by publishing papers and presenting your work
Collaborating with product teams across Apple to transition research into deployed health features

Preferred Qualifications
Proficiency in Python and modern ML/analysis stacks, including LLM-based coding and analysis
Excellent communication skills, including the ability to present technical work to clinical and broad technical audiences
Research or applied experience in deep learning and statistical modeling in the health domain (e.g. wearable devices, clinical studies, or electronic health records)
Experience with one or more of: causal inference, survival analysis, time-series modeling, or longitudinal analysis
Experience with rigorous evaluation methodology for ML in clinical or scientific settings, such as benchmarking under controlled distribution shifts, calibration analysis, or regulatory-grade validation
Publications at venues such as NeurIPS, ICML, ICLR

Minimum Qualifications
Hands-on experience designing and training modern deep learning models and architectures, including foundation models, self-supervised pretraining, multimodality, and parameter-efficient adaptation
Experience characterizing and improving the robustness of ML models under distributional shifts that are common in health data (subject variability, device heterogeneity, temporal drift)
Strong foundation in statistics, with the ability to draw defensible conclusions from observational data
Ability to design and execute non-trivial model evaluations beyond standard validation

Jetzt bewerben

Erweiterte Suche

data scientist Jobs in hard zh

AIML - Research Scientist, Health

Senior Data Scientist, GeminiApp, DeepMind

Research Software Engineer, Generative AI

Bioimage Analyst

Software Engineer, Data Infrastructure & Acquisition - Zurich, Switzerland

Software Engineer - Simulation

Quant DevOps Engineer

Data Engineer - QuantumBlack, AI by McKinsey

Business Analyst / Requirements Engineer

Lead - Technology Product Manager

Senior Scientist Upstream Process Development (MSAT)

Scientific Education Developer, Cradle Academy

Machine Learning Systems Engineer

PhD in Network Science: Modeling of Animal Networks

Research Intern - Machine Learning and Natural Language Processing (PhD)

Earth Systems Data Manager (Petabyte-Scale Infrastructure)

AI Enablement & Transformation Spezialist (m/w/d) (60-100%)

(Senior) Scientist in Converter-Based Distribution Systems (80 - 100%)

AI Research Engineer - RL Manipulation

Postdoctoral position – Co-evaluating bio-inputs for Smallholder Farmers in Kenya

Ich möchte aktuelle Job-E-Mails für Stellen als data scientist in hard zh erhalten

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