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.

• 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.

• 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.

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

London

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.

• 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.