20 beste Stellen als python in dintikon ag – aktuell auf Personalsuche

Lead - Generative Intelligence and Search Ecosystem Analyst
On AG —Zürich, ZH
- Master
- SQL
- Erfahrung in der IT
2 Std.
Automation Engineer Schwerpunkt Network- & Firewallautomation (w/m)
ITRIS Gruppe —Spreitenbach, AG
- Englisch
- Scripting
- Erfahrung in der IT
- Homeoffice-Möglichkeit
2 Tage
Process & Automation Scientist (m/f/d)
Syngenta Crop Protection —Münchwilen, AG
- 100%
- Englisch
- Master
- Kommunikationsfähigkeit
- Pensionskasse
Direkt bewerben
Collaborateur/trice scientifique en science des données, sciences de l'environnement et agronomie
Administration fédérale - Département fédéral de l'économie, de la formation et de la recherche DEFR —Zürich, ZH
- Zweisprachig
- Doktorat
- Englisch
13 Tage
Machine Learning Engineer (Applied ML, B2B SaaS)
aspaara AG —Zürich, ZH
- Überstunden
- Doktorat
- Englisch
- Master
Direkt bewerben
PhD Student in Electronic-Structure Machine Learning for Materials
Paul Scherrer Institut PSI —Villigen PSI, AG
- Doktorat
- Datenanalyse
- Englisch
DevOps / Systems Engineer im technischen Betrieb (m/w/d)
Leica Geosystems AG —Zürich, ZH
- 100%
- Linux
- Python
Teamleader Software Engineering (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Englisch
- Master
- Datenbanken
5 Tage
DevOps Engineer
SIX Group AG —Zürich, ZH
- Teilzeit
- Spanisch
- Englisch
- Windows
PhD Student in Quantum-Mechanical Simulations of Muons in Materials
Paul Scherrer Institut PSI —Villigen PSI, AG
- Doktorat
- Datenanalyse
- Englisch
(Senior) Research Scientist in Software Systems Engineering (80-100%)
ABB —Baden, AG
- Doktorat
- Systemdesign
- Englisch
Senior Full Stack Developer
Target Integration —Full, AG
- 100%
- Homeoffice
- Java
- AWS
- Führungserfahrung
- Homeoffice-Möglichkeit
5 Tage
PhD Student in Probabilistic Modelling of Severe Nuclear Accident Risk
Paul Scherrer Institut PSI —Villigen PSI, AG
- Doktorat
- Englisch
- Master
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Informatik
- Englisch
- Java
AI Platform Engineer (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Informatik
- Englisch
- Master
Strategy & Transformation Consultant - Life Science
Capgemini —Zürich, ZH
- Microsoft Powerpoint
- Microsoft Excel
- Doktorat
- Empfehlungsprogramm
Sustainability Data Specialist
On AG —Zürich, ZH
- Microsoft Excel
- Englisch
- Master
Technical Product Specialist / QA Engineer
Hexagon Manufacturing Intelligence —Unterentfelden, AG
- 100%
- Englisch
- Python
Customer Success Engineer Cyber Security (Zurich, 100%)
xorlab AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Informatik
- Englisch
- Analysefähigkeit
Direkt bewerben
Senior Data Scientist
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Doktorat
- Englisch
- Homeoffice-Möglichkeit

Ich möchte aktuelle Job-E-Mails für Stellen als python in dintikon ag erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

python jobs near dintikon ag

Jobs als Platform Engineer in Zürich, ZH

Jobs als Data Specialist in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Customer Success Manager in Zürich, ZH

Jobs als Devops Engineer in Zürich, ZH

Jobs als Life Science Consultant in Basel, BS

Jobs als Machine Learning Engineer in Zürich, ZH

Jobs als Data Engineer in Zürich, ZH

Jobs als Research Engineer in Lausanne, Vd

Jobs als Staff Software Engineer in Kanton Zürich

Jobs als Platform Engineer in Lausanne, Vd

Jobs als Platform Engineer in Bern, Be

Jobs als Platform Engineer in Genf, Ge

Jobs als Senior Data Scientist in Lausanne, Vd

Jobs als Senior Consultant in Zürich, Zh

Jobs als Senior Data Scientist in Zürich, Zh

Jobs als Research Scientist in Lausanne, Vd

Jobs als Data Specialist in Lausanne, Vd

Jobs als Data Specialist in Männedorf, Zh

Jobs als Customer Service Specialist in Zürich, Zh

Lead - Generative Intelligence and Search Ecosystem Analyst

On AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 2 Stunden

Qualifikationen

Rechnungsprüfung
Master
SQL
Erfahrung in der IT
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Location: Zurich

Ecommerce

In short

The way the world discovers information is undergoing a fundamental shift. Consumers are moving away from traditional search engines toward a fragmented ecosystem of AI assistants, agentic models, and decentralized social channels. At On, we address this transformation through our "Search Everywhere" initiative.

As the Lead - Generative Intelligence and Search Ecosystem Analyst, you will be the primary intelligence architect of On’s visibility in this fragmented "Search Everywhere" reality, moving beyond the legacy metrics of keyword rankings and organic traffic to a more holistic understanding of brand authority, entity recall, and AI-driven recommendations. You will lead the insights generation and data-driven recommendations to help ensure On remains the "cited answer" in a world dominated by AI-driven recommendations, generative engines, and decentralized social ecosystems. You will tackle complex, ambiguous challenges by treating Large Language Models (LLMs) as the new search index, ensuring our technical innovations (from CloudTecTM to LightSprayTM), product attributes and brand stories are accurately represented and recommended to consumers globally.

Your Mission

Strategic Vision for Discovery: Own the long-term roadmap for On’s visibility across the "Search Everywhere" landscape, moving the organization from tracking rankings to mastering "entity authority" and AI recall.
Ecosystem Intelligence: Lead the analysis of the non-linear customer journey, using advanced clickstream and behavioral data to identify exactly where and how consumers are shifting their trust from traditional search engines to generative AI and social platforms.
Technical Authority on Retrieval: Serve as the internal expert on Retrieval-Augmented Generation (RAG). You will define the technical standards for how our product data should be structured to be "machine-readable" and "summarization-ready," minimizing AI hallucinations about our technology.
Global Market Orchestration: Navigate the nuances of international search ecosystems (including Google, Baidu, Naver, and Yandex), ensuring On’s technological narrative is consistent and authoritative across different linguistic and algorithmic environments.
Cross-Functional Influence: Partner with Paid and Organic Search, Content, Marketing, and Product teams to optimize budget allocation and content pipelines, acting as a trusted thought partner to bridge the gap between technical data engineering and brand storytelling.
Operational Excellence: Partner with Data and Tech teams to guide the construction of scalable ETL pipelines for log file analysis, monitoring AI bot behavior (like GPTBot) at the server level to ensure high-value content is indexed and retrieved efficiently.

Your story

Proven Domain Expert: You have extensive experience (8+ years) in technical SEO and search analytics. You don’t just use tools; you have a track record of solving complex visibility problems and understand the underlying mechanics of how information is vectorized, retrieved, and presented.
Future-proof mindset: You haven’t just watched the search landscape change; you have looked into how to adapt your toolkit. You have a working knowledge of emerging evaluation frameworks (such as NDCG or RAGAS) and are familiar with the specialized toolkits used to audit LLM responses and brand clarity. You stay ahead of the curve in emerging trends, such as visual search (Google Lens), agentic e-commerce, and the nuances of zero-party data.
Technical Fluency: You are proficient in Python and SQL. You are comfortable working with large-scale datasets, server logs, and building the logic for automated intelligence dashboards.
Collaborative Influencer: You are a strong communicator who can translate complex linguistic analytics into actionable business terms for senior stakeholders across regions and functions.

About the Team

You will join the Digital Customer Analytics team, a high performing team dedicated to the end-to-end customer journey, from optimizing performance marketing and site experimentation to analyzing purchasing behavior and long-term loyalty. We transform complex digital signals into actionable insights that fuel growth, retention, and a seamless shopping experience.

Zürich

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail.

Förrlibuckstrasse 190,
8005
Switzerland

Location

What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

Step One

It starts with you...

You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

Step Two

Interview with a recruiter

What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

Step Three

Interview with a hiring manager

Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

Step Four

The Case Study

What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

Step Five

The Experience Day

Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

Step Six

The Result

Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Jetzt bewerben

Erweiterte Suche

python Jobs in dintikon ag

Ich möchte aktuelle Job-E-Mails für Stellen als python in dintikon ag erhalten

Related Searches

Weitere Job-Standorte erkunden

Ecommerce

In short

Your Mission

Your story

About the Team

Zürich

What we offer

What to expect

Step One

It starts with you...

Step Two

Interview with a recruiter

Step Three

Interview with a hiring manager

Step Four

The Case Study

Step Five

The Experience Day

Step Six

The Result