20 beste Stellen als data in schaffhausen sh – aktuell auf Personalsuche

Lead Data Scientist
Johnson Controls —Neuhausen am Rheinfall, SH
- 100%
- Doktorat
- Master
- AWS
14 Tage
Associate Director
Johnson Controls —Neuhausen am Rheinfall, SH
- 100%
- Bachelor
- Führungserfahrung
- Kommunikationsfähigkeit
14 Tage
End-to-End Supply Chain Director, Insecticides
FMC IP Technology GmbH —Schaffhausen, SH
- 100%
- PMP
- Master
- Bachelor
Direkt bewerben
Compliance Specialist Cyber Security (m/w/d)
SYNTEGON —Beringen, SH
- 100%
- Homeoffice
- Erfahrung in der IT
- Eltern-/Erziehungsurlaub
- Lohnfortzahlung bei Krankheit
Direkt bewerben
Innovation Engineer – Data Center Cooling (m/f/d)
Georg Fischer —Schaffhausen, SH
- 100%
- Englisch
- Master
- Bachelor
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- Englisch
- Analysefähigkeit
Senior manager Group FP&A
SIG Group —Neuhausen am Rheinfall, SH
- 100%
- Homeoffice
- Microsoft Excel
- Management-Erfahrung
- Microsoft Office
- Homeoffice-Möglichkeit
14 Tage
Director, Engineering Excellence
Johnson Controls —Neuhausen am Rheinfall, SH
- 100%
- Bachelor
- Erfahrung in der IT
- Produktion
14 Tage
Field Service Engineer Thermal - Zurich / Central - North Switzerland
Vertiv —Neuhausen am Rheinfall, SH
- Bereitschaftsdienst
- Englisch
Team Leader Incoming Quality Control 80 - 100% (f/m/d)
Hitachi —Embrach, ZH
- Homeoffice
- Englisch
- Projektmanagement
- Bachelor
Softwareentwickler HMI (m/w/d)
SYNTEGON —Beringen, SH
- 100%
- Hybrides Arbeiten
- Englisch
- Windows
- Master
- Eltern-/Erziehungsurlaub
- Lohnfortzahlung bei Krankheit
Direkt bewerben
Head of Product, Solution & Segment Marketing
Sulzer —Winterthur, ZH
- 100%
- Management-Erfahrung
- Englisch
- Analysefähigkeit
Human Resources Manager (m/w/d)
Trelleborg Medical Solutions —Stein am Rhein, SH
- Arbeitsrecht
- Englisch
- Master
22 Std.
Dispatcher
Cencora —Bachenbülach, ZH
- 100%
- Englisch
- PC-Kenntnisse
Tagetik Expert - Group Consolidation & Planning (m/f/d)
Liebherr-International AG —Nussbaumen, ZH
- 100%
- Englisch
- Rechnungswesen
- Erfahrung in der IT
Wissenschaftliche:r Assistent:in im Bereich Engineering datengetriebener zirkulärer Services 50 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- Teilzeit
- Englisch
- Master
- Bachelor
Internship as Data Engineer at AXA Group Risk Management (all genders)
AXA —Winterthur, ZH
- Homeoffice
- Englisch
- SQL
- Praktikum
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- Pensionskasse
HR Administration & Payroll Manager
Sulzer —Winterthur, ZH
- 100%
- Englisch
- Microsoft Office
- Personalwesen
Application Engineer – Technology Preparation 100% (w/m/d)
Rieter —Winterthur, ZH
- 100%
- Microsoft Word
- Englisch
- Microsoft Office
Machine Diagnostics Engineer
Sulzer —Winterthur, ZH
- 100%
- Microsoft Excel
- Datenanalyse
- Englisch

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Lead Data Scientist

Johnson Controls -
Neuhausen am Rheinfall, SH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 14 Tagen

Qualifikationen

Doktorat
Google Cloud Platform
Master
AWS
Bachelor
HLK
Führungserfahrung

Vollständige Stellenbeschreibung

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

Jetzt bewerben

Erweiterte Suche

data Jobs in schaffhausen sh

Lead Data Scientist

Associate Director

End-to-End Supply Chain Director, Insecticides

Compliance Specialist Cyber Security (m/w/d)

Innovation Engineer – Data Center Cooling (m/f/d)

SECONDMENT Data Protection Compliance Lead - Reserve List

Senior manager Group FP&A

Director, Engineering Excellence

Field Service Engineer Thermal - Zurich / Central - North Switzerland

Team Leader Incoming Quality Control 80 - 100% (f/m/d)

Softwareentwickler HMI (m/w/d)

Head of Product, Solution & Segment Marketing

Human Resources Manager (m/w/d)

Dispatcher

Tagetik Expert - Group Consolidation & Planning (m/f/d)

Wissenschaftliche:r Assistent:in im Bereich Engineering datengetriebener zirkulärer Services 50 %

Internship as Data Engineer at AXA Group Risk Management (all genders)

HR Administration & Payroll Manager

Application Engineer – Technology Preparation 100% (w/m/d)

Machine Diagnostics Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als data in schaffhausen sh erhalten

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