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    • 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and…
    • Working on data science projects with collaborators from the academic and public sector.
    • Experience in applying data science and AI in interdisciplinary…
    • Bonus: experience with protein/sequence-structure data (bioinformatics tooling, structural data), ML on experimental data, or building datasets for model…
    • Rejoignez Novatix, un des leaders en solutions d'Intelligence Artificielle (IA) et de Machine Learning en Suisse Romande, maintenant membre du groupe Ansam.
    • Oversees review of data analysis and modelling techniques.
    • Leads ML and data-science partnerships and IP improvement.
    • Creating and maintaining software for measurement equipment, data processing, event processing, data visualization and data analysis.
    • Experience with time-series data, sensor data pipelines, or stream processing frameworks.
    • Manage the ML data pipeline, including data collection, extraction,…
    • You have 2+ years of experience designing and applying advanced statistical or data science methods to complex biomedical data, ideally in clinical trial…
    • Enthusiastic about leveraging data and statistics to solve complex problems.
    • Strong communication skills with the ability to decompose complex solutions and…
    • Program edit checks and data queries.
    • Develop and implement data transfer agreements with third parties.
    • The ideal candidate will have a strong understanding of…
    • Proficiency in data analysis and statistical methods.
    • You will join the Institute of Human Biology (IHB), collaborating with scientists and engineers to design…
    • En tant que stagiaire Data Scientist, vous intégrerez une équipe à fort impact, sous la supervision du Lead Data Scientist (reporting au Directeur Supply Chain)…
    • Advise customers and internal teams on assay design and what the functional data means.
    • Data fluency (scripting, analyzing dose-response and potency data) is a…
    • Experience in data science, advanced analytics, or process analytics applied to operational data.
    • Work closely with data engineering, MSAT, Process Development,…
    • Elaborer des solutions de data science permettant de répondre aux besoins métier.
    • Accompagner un département métier dans la construction de la vision…

Les chercheurs d'emploi ont également recherché :

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Job Post Details

Senior Data Scientist, GeminiApp, DeepMind - job post

DeepMind
Zürich, ZH
De 232 000 CHF à 253 000 CHF par an - 100%, Temps de travail : 90-100%
Créez un compte Indeed avant de continuer sur le site web de l'entreprise.

Détails de l'emploi

Salaire

  • De 232 000 CHF à 253 000 CHF par an

Type de poste

  • Temps de travail : 90-100%
  • 100%

Lieu

Zürich, ZH

Description du poste

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Preferred qualifications:

  • Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
  • Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
  • Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
  • Advocate data-driven culture by feeding user engagement insights back into models.
  • Collaborate with the GenAI team on model quality and feature adoption.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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