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

Staff Data Scientist - Supply Chain Optimisation
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Senior Compiler Engineer
NVIDIA —Zürich, ZH
- 100%
- Master
- C++
- Bachelor
1 Tag
Machine Learning Engineer (Applied ML, B2B SaaS)
aspaara AG —Zürich, ZH
- Überstunden
- Doktorat
- Englisch
- Master
Direkt bewerben
Lead Data Scientist (Supply Chain Forecasting)
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Software Engineer III, YouTube Ads
YouTube —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
14 Tage
Internship in Computer Vision for Marine and Ports (80-100%)
ABB Schweiz AG —Baden, AG
- Englisch
- Python
Direkt bewerben
3 Tage
Senior Research Scientist, Deep Learning
Intrinsic —Zürich, ZH
- Überstunden
- Doktorat
- Forschungserfahrung
- Master
Senior RTL Design Engineer
Sequans —Zürich, ZH
- Doktorat
- Englisch
- Master
Software Engineering Internship
ANYbotics —Zürich, ZH
- Doktorat
- Englisch
- Master
10 Tage
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- CHF 106’000 - CHF 109’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
7 Tage
Software Engineer III, Infrastructure
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
Head of Data Science (Commercial AI)
On AG —Zürich, ZH
- Erfahrung in der IT
Navigation Software Design Engineer
u-blox —Thalwil, ZH
- Homeoffice
- Doktorat
- Englisch
- Master
- Homeoffice-Möglichkeit
Senior Software Engineer, Embedded, Syntec
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
10 Tage
Computer Vision Summer Intern
AVIAN —Dübendorf, ZH
- Teilzeit
- Englisch
- Master
- C++
Direkt bewerben
XR Audio Face Tracking ML Software Engineer
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Lead Software Engineer
Synthara AG —Zürich, ZH
- C++
- Python
Junior Software Engineer Low Latency Trading
Digital Wave Finance AG —Zug, ZG
- 100%
- Hybrides Arbeiten
- Informatik
- Master
- C++
Direkt bewerben
Software Engineer III, Database Systems
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
14 Tage
Senior Software Engineer, Automotive AI
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- Bachelor
7 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als algorithm engineer in zürich, zh 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

algorithm engineer jobs near zürich, zh

Jobs als Senior Software Engineer in Zürich, ZH

Jobs als Senior Engineer in Zürich, ZH

Jobs als Data Scientist in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Junior Software Engineer in Zug, ZG

Jobs als Lead Data Scientist in Zürich, ZH

Jobs als Senior Research Scientist in Zürich, ZH

Jobs als Senior Design Engineer in Zürich, ZH

Jobs als Machine Learning Engineer in Zürich, ZH

Jobs als Mechanical Engineer in Winterthur, Zh

Jobs als Senior Software Engineer in Kanton Bern

Jobs als Medical Engineer in Zürich, Zh

Jobs als Senior Software Engineer in Zug, Zg

Jobs als Senior Software Engineer in Binningen, Bl

Jobs als Data Engineer Remote in Zürich, Zh

Jobs als Senior Engineer in Bern, Be

Jobs als Senior Risk Manager in Zürich, Zh

Jobs als Senior Engineer in Basel, Bs

Jobs als Data Scientist in Montreux, Vd

Jobs als Data Scientist in Berne, Be

Staff Data Scientist - Supply Chain Optimisation

On AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Doktorat
Spark
Master
SQL
Erfahrung in der IT
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Locations: Zurich, London

Technology

In short

As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting-edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data-driven decisions at a global scale.

You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On.

Your Mission

Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on what needs to happen from both a technology, algorithm, and process perspective to achieve results.
Design, develop, and implement state-of-the-art optimization models to drive a more efficient, resilient, and reliable supply chain.
Lead complex, end-to-end optimization projects from conception to deployment, ensuring they meet business needs and are scalable and robust.
Provide guidance on forecasting approaches and how they impact supply chain optimization and performance.
Collaborate with senior stakeholders across the organization, including Demand Planning, Supply Planning, Product, and Controlling, to guide supply chain strategy so that it can best take advantage of data & AI.
Act as a thought leader in the field of supply chain optimization and forecasting, staying abreast of the latest research and technologies and identifying opportunities to apply them at On.
Mentor and coach other data scientists, providing technical guidance and helping them grow in their careers.
Contribute to the development of our data science platform and infrastructure, ensuring we have the tools and processes to build and deploy models efficiently.

Your story

A deep understanding of statistical modeling, machine learning, and time-series forecasting. You have 8+ years of experience in data science, with a focus on optimization in the context of supply chains. Experience building forecasting models is also desired.
A Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
A hands-on-keyboard data scientist who is also a strategic thinker. You can lead projects, mentor others, and drive technical decisions.
Expertise in Python and SQL, and experience with data science libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Experience deploying and maintaining machine learning and optimization models in a production environment.
Experience with optimization software such as (but not limited to) Gurobi, as well as fluency in large-scale data processing and distributed computing frameworks (e.g. Spark).
A strong communicator who can build relationships with stakeholders at all levels of the organization. You can translate complex technical concepts into business terms and drive alignment around your proposed solutions.
Are passionate about using data to drive business impact and are excited about the opportunity to shape the future of On’s supply chain.

About the Team

You will be part of a growing and diverse team of ML engineers, data scientists, data engineers, and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On.

We focus on building and operating the creative and impactful models that personalize experiences, optimize decision-making, and predict future trends. The team operates in a fast-paced environment and is used to rapid turnaround times and ambitious targets. The shared goal is efficient growth at high speed, ensuring our ML systems scale with On's needs.

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

London

Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason.

12 Fleur De Lis Street,
E1 6DB
United Kingdom

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

algorithm engineer Jobs in zürich, zh

Ich möchte aktuelle Job-E-Mails für Stellen als algorithm engineer in zürich, zh erhalten

Related Searches

Weitere Job-Standorte erkunden

Technology

In short

Your Mission

Your story

About the Team

Zürich

London

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