20 meilleures offres (lead data scientist, switzerland) (à pourvoir)

Lead Data Scientist
Johnson Controls —Neuhausen am Rheinfall, SH
- 100%
- Niveau Doctorat
- Niveau Master
- AWS
il y a 2 jours
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- Niveau Doctorat
- Recherche
- Niveau Master
- Congé parental payé
Analytics and Data Science Manager
Cereal Partners Worldwide —La Tour-de-Peilz, VD
- 100%
- Microsoft Excel
- Esprit d'analyse
- Compétences en communication
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Niveau Doctorat
- Anglais
- Niveau Master
Intern – Data Scientist – Fastening & Protection Solutions (m/f/x)
HILTI —Schaan, LI
- Anglais
- AWS
- Esprit d'analyse
- Stationnement gratuit
Associate Director, Applied Data Science & Modelling
Lonza —Visp, VS
- 100%
- Télétravail
- Gestion du personnel
- Niveau Doctorat
- Python
- Aide au déménagement
Director – Global Information Systems Group
International Union for Conservation of Nature —Gland, VD
- De 155 063 CHF à 193 829 CHF par an
- 100%
- Espagnol
- Anglais
- Réseaux informatiques
il y a 7 jours
Intern – Quality Management - Technical Analysis Data Scientist (m/f/x)
HILTI —Schaan, LI
- Télétravail
- Anglais
- Stage
- Compétences en communication
- Stationnement gratuit
Senior Scientist Analytical Services
Celonic AG —Bâle, BS
- 100%
- Gestion du personnel
- Niveau Doctorat
- Anglais
il y a 10 jours
Senior Data Scientist
ELCA Informatique SA —Pully, VD
- 100%
- Anglais
- Windows
- AWS
Senior Scientist Digital Quality Control
CSL Behring —Berne, BE
- De 71 000 CHF à 90 000 CHF par an
- 100%
- Expérience en laboratoire
- Anglais
- Esprit d'analyse
(Senior) Scientist (80 - 100%) f/m/d
ABB Schweiz AG —Baden, AG
- Niveau Doctorat
- Anglais
- C++
Postuler rapidement
1 h
Project Scientist Phys-Chem Quality Control 80-100%
Lonza —Bâle, BS
- Anglais
- Niveau Master
- Niveau Licence
il y a 13 jours
Head of Data Platform
SCOR —Zürich, ZH
- Gestion du personnel
- SQL
- Niveau Licence
il y a 7 jours
MSAT Bio Industrialization & Data Analytics Lead (Switzerland)
UCB —Bulle, FR
- Gestion du personnel
- Anglais
- Niveau Master
Test Manager (Team Leader System Testing) (80-100%)
Zurich Instruments —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- Niveau Licence
il y a 3 jours
Lead Applied Scientist, Search - NLP/GenAI
Thomson Reuters —Zoug, ZG
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
- Travail à domicile
Intern – Data & AI Product Owner (m/f/x)
HILTI —Buchs, SG
- Technologies de l'information
- Stage
- Leadership
- Stationnement gratuit
Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology
emploi.epfl.ch —Villigen, AG
- Niveau Doctorat
- Anglais
- Recherche
8 h
Scientist, Cell-Based & Functional Assays
Adaptyv —Lausanne, VD
- 100%
- Bar

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lead data scientist jobs near switzerland

Data Scientist, Zürich, ZH : emplois

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Lead Data Scientist

Johnson Controls -
Neuhausen am Rheinfall, SH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 2 jours

Qualifications

Niveau Doctorat
Google Cloud Platform
Niveau Master
AWS
Niveau Licence
CVC
Leadership

Description complète du poste

About the Role

We are seeking a seasoned Leader of AI & Data Science to lead our enterprise AI portfolio spanning four specialized operations: Generative AI & Agentic Platforms, AI Operations, Statistical & ML Modeling, and Data Center AI for our HVAC business. This leader will own the end-to-end AI strategy — from experimentation to production — ensuring AI initiatives deliver measurable business value, operate reliably at scale, and align with the company's broader digital transformation goals.

The ideal candidate combines deep technical credibility with strong people leadership, and can operate comfortably across cutting-edge GenAI innovation, disciplined ML engineering, and domain-specific applications in energy, HVAC, and data center environments.

Key Responsibilities

Strategic Leadership

Define and execute the multi-year AI/ML roadmap across all four operations, aligned with business priorities and P&L impact.
Act as the senior AI voice for the organization — advising executive leadership on emerging technologies (LLMs, agentic AI, edge AI) and their business applications.
Establish governance frameworks covering responsible AI, model risk management, data privacy, and regulatory compliance.
Manage vendor relationships (cloud providers, LLM providers, tooling), and build-vs-buy decisions.

GenAI & Agentic Platform

Lead the design and scaling of an enterprise agentic AI platform (LLM orchestration, RAG pipelines, multi-agent workflows, tool/function calling, guardrails, and evaluation frameworks).
Drive adoption of GenAI copilots and autonomous agents across internal and customer-facing use cases.
Stay ahead of the rapidly evolving GenAI ecosystem (foundation models, fine-tuning, prompt engineering, agent frameworks) and set platform standards.

AI Operations

Own the operational backbone for all AI/ML workloads: CI/CD for models, model monitoring, drift detection, retraining pipelines, observability, and incident response.
Establish SLAs/SLOs for production models and GenAI services; drive reliability, latency, and cost optimization (including LLM inference cost management).
Standardize the ML platform stack (feature stores, model registries, experiment tracking, deployment patterns) across the organization.

Statistical & ML Models for Business

Oversee development of statistical, forecasting, and machine learning models supporting core business functions (e.g., demand forecasting, pricing, churn, service optimization, predictive maintenance).
Ensure rigor in model development — experimental design, validation, explainability, and measurable business KPIs.
Partner with business unit leaders to prioritize a portfolio of high-ROI analytics use cases.

Data Center AI for HVAC Business

Lead AI/ML initiatives focused on data center development and operations — thermal management, cooling optimization, energy efficiency, capacity planning, and predictive insights for HVAC systems.
Work closely with HVAC product, engineering, and field teams to translate sensor/telemetry data (BMS, IoT, chillers, CRAH/CRAC units) into actionable intelligence and product features.
Develop digital twin, anomaly detection, and optimization models that improve PUE, uptime, and equipment lifecycle for data center customers.

People & Organizational Leadership

Hire, mentor, and grow POD leads and a multidisciplinary team of data scientists, ML engineers, GenAI engineers, and MLOps engineers.
Foster a culture of experimentation, engineering excellence, and business accountability.
Define career paths, performance standards, and knowledge-sharing practices across PODs.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field (PhD a plus).
12+ years of experience in data science / machine learning, with 5+ years in senior leadership managing multiple teams or PODs.
Proven track record of delivering production-grade AI/ML systems at enterprise scale.
Hands-on familiarity with the modern GenAI stack: LLMs (OpenAI, Anthropic, open-source), RAG, vector databases, agent frameworks (e.g., LangGraph, CrewAI, AutoGen), and evaluation/guardrail tooling.
Strong grounding in MLOps/AIOps practices and cloud platforms (AWS / Azure / GCP), containerization, and CI/CD for ML.
Solid foundation in classical statistics and ML (regression, time series, classification, optimization) and their application to business problems.
Demonstrated ability to partner with business stakeholders, translate ambiguous problems into AI solutions, and communicate impact to executives.
Experience managing budgets, vendors, and cross-functional programs.

Preferred Qualifications

Domain experience in HVAC, data centers, energy management, building automation, or industrial IoT.
Familiarity with time-series/telemetry data at scale, digital twins, physics-informed ML, or reinforcement learning for control/optimization (e.g., cooling optimization).
Experience with edge AI deployment and BMS/SCADA integration.
Knowledge of responsible AI frameworks, model governance, and relevant regulations.
Publications, patents, or recognized contributions in AI/ML.

Key Competencies

Strategic thinking with hands-on technical depth
Multi-team leadership and talent development
Executive communication and stakeholder management
Bias for action and outcome-driven delivery
Comfort with ambiguity in a fast-evolving AI landscape

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lead data scientist emplois - switzerland

Lead Data Scientist

Research Engineer / Research Scientist, Pre-training

Analytics and Data Science Manager

Data Scientist - QuantumBlack, AI by McKinsey

Intern – Data Scientist – Fastening & Protection Solutions (m/f/x)

Associate Director, Applied Data Science & Modelling

Director – Global Information Systems Group

Intern – Quality Management - Technical Analysis Data Scientist (m/f/x)

Senior Scientist Analytical Services

Senior Data Scientist

Senior Scientist Digital Quality Control

(Senior) Scientist (80 - 100%) f/m/d

Project Scientist Phys-Chem Quality Control 80-100%

Head of Data Platform

MSAT Bio Industrialization & Data Analytics Lead (Switzerland)

Test Manager (Team Leader System Testing) (80-100%)

Lead Applied Scientist, Search - NLP/GenAI

Intern – Data & AI Product Owner (m/f/x)

Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology

Scientist, Cell-Based & Functional Assays

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : lead data scientist (switzerland)

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