18 beste Stellen als data scientist in geroldswil zh – aktuell auf Personalsuche

Senior Lead - Data Engineer
On AG —Zürich, ZH
- SQL
- Erfahrung in der IT
- Führungserfahrung
Senior Customer Success Manager - Switzerland
Dataiku —Zürich, ZH
- Homeoffice
- Englisch
- Erfahrung in der IT
- Produktion
Functional Consultant & Project Manager
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- Analysefähigkeit
Lead Machine Learning Engineer & Lead Systems AI Engineer
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
7 Tage
Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing
AWS EMEA SARL (Switzerland Branch) - G96 —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Research Engineer
Align Technology —Zürich, ZH
- 100%
- Doktorat
- CAD
- Englisch
Direkt bewerben
Product and Solutions Sales Specialist
Dell Technologies —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Erfahrung in der IT
Capgemini ERD - Senior Client Partner - Industry
Capgemini —Opfikon, ZH
- Englisch
- Erfahrung in der IT
- Kommunikationsfähigkeit
- Empfehlungsprogramm
Internship - Humanoid Motion Generation (Diffusion or Flow Matching)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Softwareentwicklung
Direkt bewerben
Mid-Senior Level Options Trader
G-20 Group —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Senior Software Engineer, Windows/Desktop Applications - Zurich, Switzerland
Speechify —Zürich, ZH
- Homeoffice
- Doktorat
- Windows
- C++
11 Tage
Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Forschungserfahrung
- Master
- Python
Direkt bewerben
Senior Projektmanager:in Data & AI 80-100%
Eraneos Switzerland AG —Zürich, ZH
- Management-Erfahrung
- PMP
- Englisch
Senior Data & AI Consultant/Consulting Lead (Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Python
Direkt bewerben
Research scientist
Universität Zürich —Schlieren, ZH
- Teilzeit
- Doktorat
- Analysefähigkeit
- Python
- Weiterbildungen
18 Std.
Investment Advisor (Temporary Position)
BBVA —Zürich, ZH
- 100%
- Microsoft Powerpoint
- Spanisch
- Microsoft Excel
19 Std.

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Senior Lead - Data Engineer

On AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Google Cloud Platform
SQL
Erfahrung in der IT
Führungserfahrung
Python

Vollständige Stellenbeschreibung

Location: Zurich

Technology

In short

As the Engineering Manager of the Data Enablement team for FinOps (Finance and Operations) you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well-defined data.

You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies.

Lastly you will act as a point of contact for multiple business functions and collaborate with the stakeholders to create relevant data products to enhance data adoption at On and to increase trust.

Your Mission

Your primary objectives as an Data Enablement Engineering Manager are:

Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to understand business requirements, and proactively identify and deliver data products that have a significant impact on stakeholders across functions or regions.
Lead Decisive Execution: Enable the team to make timely and informed decisions for consequential, potentially irreversible decisions, and provide direction/support to others in tackling complex, new problems by identifying underlying issues and root causes.
Provide Technical Leadership: Be accountable for your team's technical decisions and solutions, ensuring they align with Data Engineering best practices and On overall Tech's architecture north star, security, and compliance guidelines.
Champion Team & Talent Development: Actively promote formal and informal mentoring, provide growth opportunities to your team, and build an inclusive team environment that fosters a culture of seeking out and delivering candid feedback.

Your story

You are a proven data engineering expert and leader ready to manage a data engineering team, accountable for technical delivery, quality, and hiring in the Data Engineering space. You should be able to demonstrate:

Deep Data Proficiency: 8+ years of related experience or equivalent, with deep technical expertise in data warehousing, data modeling and ELT concepts, and are experienced in SQL, Python or equivalent programming.
Finance & Operations Domain Expertise: You possess significant experience partnering with Finance and Operations stakeholders, translating complex business needs into robust data solutions and high-quality data models. This expertise spans knowledge of ERP systems, financial reporting, supply chain optimization and operational efficiency improvements through data-driven insights.
Proven People Leadership: Proven experience in managing one or more teams with Individual Contributors (ICs) under direct management. You possess the ability to empower your team to ship high-quality code at pace, helping them navigate trade-offs between perfect and 'production-ready.
Cloud & Platform Fluency: Expert knowledge of data infrastructure, APIs, data pipelines, observability and workflow orchestration in distributed cloud environments, with hands-on experience on cloud platforms (GCP preferred) and automated CI/CD.
AI savvy: Proven familiarity with AI tooling for data such as Analytics LLMs/conversational analytics and demonstrable knowledge of using AI to innovate in the data sphere.
Collaborative Influence: You are an exceptional communicator and a genuine team player, adept at guiding team decisions, fostering consensus through professional influence, and effectively conveying complex technical information to diverse audiences.

About the Team

The data enablement team is responsible for building, maintaining and growing internal data products that empower everyone at On to impact business outcomes by making informed decisions.

You will be overseeing a team of data engineers who take care of the company’s data needs for Finance and Operations (Supply Chain). You will be leading a small focused team of data engineers, closely working with the data platform engineers, other data engineers, data analysts, data scientists and stakeholders to deliver valuable data products for the company.

You will be part of a talented and diverse function of data (platform) engineers, data scientists and data governance experts who are passionate about revolutionizing how we leverage data to solve complex challenges across On. As a data leader, you will play a critical role in shaping our data strategy and driving execution of data initiatives.

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

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Weitere Job-Standorte erkunden

Technology

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