19 beste Stellen als algorithm engineer in zürich zh – aktuell auf Personalsuche

Head of Data Science (Commercial AI)
On AG —Zürich, ZH
- Erfahrung in der IT
Senior Software Engineer
Snyk —Zürich, ZH
- 100%
- Doktorat
- Master
- Datenbanken
- Eltern-/Erziehungsurlaub
Senior Software Developer, Embedded Systems/Firmware
Google —Zürich, ZH
- CHF 100’000 - CHF 253’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Master
9 Std.
Software Engineer III, Infrastructure, Merchant API
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
AI Research Engineer - Dexterous Manipulation (Egocentric Models)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Python
Direkt bewerben
Lead Data Scientist (Supply Chain Forecasting)
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Principal Navigation Software Engineer
u-blox —Thalwil, ZH
- Doktorat
- Englisch
- Master
Senior Software Engineer, Automotive AI
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- Bachelor
3 Tage
Senior Software Engineer, Infrastructure, Data Generation Pipeline
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
7 Tage
Senior Signal Processing Engineer
u-blox —Thalwil, ZH
- Homeoffice
- Informatik
- Management-Erfahrung
- Schreibfähigkeiten
- Homeoffice-Möglichkeit
Senior Software Engineer, Consensus
Anza —Zürich, ZH
- 100%
- Homeoffice
- Informatik
- C++
- Bachelor
Direkt bewerben
Scientist in Generative AI and Large Language Models (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Informatik
- Doktorat
- Englisch
Lead Digital Signal Processing Engineer
Destinus —Zürich, ZH
- Hybrides Arbeiten
- Doktorat
- Master
- Analysefähigkeit
Direkt bewerben
Senior Data Engineer
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Java
- Homeoffice-Möglichkeit
Associate / Senior Associate - Cloud, Data and AI (Cloud & AI Engineer)
PwC —Zürich, ZH
- 100%
- Datenbanken
- AWS
- Python
Reinforcement Learning Expert - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Englisch
Direkt bewerben
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Deep Learning Specialist B2B Process Industry (m/w/d)
GLONETPARTNERS —Zürich, ZH
- Hybrides Arbeiten
- Doktorat
- Salesforce
- Englisch
Tech Lead: Manufacturing Intelligence
SAEKI Robotics AG —Kloten, ZH
- 100%
- Doktorat
- Master
- Mentoring
Direkt bewerben

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Head of Data Science (Commercial AI)

On AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Erfahrung in der IT

Vollständige Stellenbeschreibung

Location: Zurich

Technology

In short

As the Head of Data Science: Commercial AI, your mission is to set the direction for the Commercial AI team, ensuring that your projects align seamlessly with On's broader strategy. You will lead complex, high-impact projects to elevate our marketing and commercial performance through conceiving and delivering industry-leading machine learning and AI solutions. You will simplify complexity and leverage your deep expertise in science, ML, and AI to drive significant impact and support On's growth.

Your Mission

Your primary goal is to provide strategic leadership and execution for Commercial AI initiatives:

Set priorities and implementation strategy for Commercial AI in close partnership with stakeholders in the Commercial, Marketing, and Technology teams. Anticipate and integrate the interests of various teams, ensuring output aligns with broader On strategy.
Build and nurture a high performing AI team. Actively promote formal and informal mentoring and provide growth opportunities to the team.
Lead the design and implementation of machine learning and AI pipelines to optimize marketing decision making.
Develop and refine models such as Customer Lifetime Value, customer product recommendation, and churn prediction. Incorporate advanced ML techniques and the latest GenAI technologies.
Be responsible for algorithm performance, including oversight of the design of QA metrics and processes, and validating measurable impact through experimentation.
Effectively communicate on the impact and efficacy of the marketing ML and AI applications to all levels of the organization.
Simplify complexity and bring others on board to achieve objectives and create cohesiveness and alignment.
Drive decision-making and provide input to wider-On topics such as platform strategy, integrating supply chain and commercial decision making, and talent strategy.

Your story

You are a proven data science leader and a domain expert ready to lead and strategically influence our Commercial AI future:

You are a domain expert in ML and AI design and production implementation. You have a strong understanding of ML Operations principles and a track record of identifying the right problem to solve at the right time, to maximize business impact.
You have a proven track record in the digital marketing landscape. You have a clear understanding of prediction models, classifiers, user behavior and website performance.
You are experienced in managing high performing teams, providing space for growth whilst providing appropriate frameworks and monitoring to ensure high quality output. You identify issues and blockages within the team and resolve them quickly.
You are adept at a range of approaches to communicate the behaviour of complex systems to executives and non-technical audiences. You have experience with data visualization tools and techniques.
You possess excellent interpersonal skills, with the ability to influence stakeholders and drive consensus. You are experienced in identifying the root cause and resolving issues that slow the delivery of high quality AI.
You thrive in a dynamic and fast-paced environment, possess a proactive attitude, and are passionate about solving complex challenges.
Familiarity with cloud-based machine learning platforms (e.g., Vertex AI), Google Cloud, batch and streaming technologies is a plus.

About the Team

We're a growing team of passionate Data Scientists and Engineers working across On. We build creative and impactful models end-to-end that personalise experiences, optimise decision-making, and predict future trends. We sit within Technology and have the opportunity to collaborate across the entire organization. If you're excited about optimising how we use and consume data to support On's growth through data, we'd love for you to be a part of our fast-paced environment.

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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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