In short

In order to successfully deliver its ambition, On is reinforcing its data, Machine Learning and AI capabilities in the Chinese Market. As a Data Scientist with Machine Learning Engineering experience your mission is to maximize the power of our database by building efficient artificial intelligence systems and to advance our predictive automation capabilities tackling business challenges across loyalty, retention, customer acquisition, channel attribution and omnichannel presence.

You assess, analyze, and organize large amounts of data to execute experiments and optimize machine learning models pursuing data-driven insights. You build scalable data products focusing mainly on product recommendation, personalisation and forecasting use cases, working closely together with business teams aiming to shape the strategic roadmap and optimize performance; all towards realizing On’s business goals and long-term vision.

Your Mission

  • Identify key projects to drive success and maximise the impact of your work through discovering potential high-impact business opportunities and use cases to solve with Machine Learning or AI capabilities.
  • Develop an Machine Learning /AI framework focusing on unique platform-characteristics of the Chinese tech stack landscape and market.
  • Lead ML projects to develop data-driven products, train and optimize classifiers and prediction models, productionize and monitor complex ML systems and construct data pipelines integrated with our digital products to solve difficult business challenges and to contribute to smart decision-making.
  • Focus on forecasting, product recommendation and personalisation use cases that bring significant impact to the Chinese business enhancing customer experience and ultimately improve overall business performance.
  • Analyze and leverage big data and conduct statistical inference focusing on the whole customer journey and translate these findings into actionable strategies.
  • Establish strong relationships with critical business partners globally to ensure alignment and success. Communicate data science and advanced analytical solutions to stakeholders.
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  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera

Your story

  • You have 6+ years of experience as a Data Scientist with good Machine Learning Operations exposure in a Direct-to-Consumer/E-commerce business environment with a clear understanding of digital marketing and customer experience strategies and of prediction models, classifiers, marketing channel mix, attribution, recommendation engines, user behavior, website performance, etc.
  • You have experience in developing and enhancing an Machine Learning /AI platform for robust model development
  • You have experience in building end-to-end machine learning pipelines with automated performance monitoring, dynamic model retraining and handling real-time inference in a production environment
  • You have knowledge of and experience with software architecture, Machine Learning and Machine Learning Operations frameworks and with recommendation and personalization techniques
  • You are proficient in applied statistics, bayesian testing, forecasting, incrementality testing and in experiments such as causal impact analysis.
  • Familiarity with Marketing-mix modelling and recommender systems is a plus.
  • You feel comfortable working in dynamic and fast moving environments, you have a proactive attitude and you are constantly looking for new challenges.
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About the Team

As you might expect from a global sportswear brand, On is a fast-paced place to be. The team of interdisciplinary all-stars are used to rapid turnaround times and ambitious targets. From engineers to designers, data scientists and digital marketers, we aim to create winning digital products and campaigns that run the length of the purchase funnel. The shared goal? Efficient growth at high speed – what else?

See more
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A man in a blue shirt and a white t-shirt with a headset on is standing with his arms crossed and holding his chin looking into the distance

Explorer

Explorer

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Our team exists to think differently. Wild curiosity and a thirst for knowledge keeps moving our tech forward. There are no boxes here. We’re always dreaming of what’s possible – and searching for new ways to get there. 

Learn about out Spirits
  • Portrait of a woman smiling in the On Zürich office

    Gioia

    Head of Operations Project Portfolio Management

    My journey has evolved for sure and, actually, change can lead to infinite possibilities. Those core values that were there when I joined are still here today and I really find them extraordinary every day.
  • A man standing in a modern office looking at the camera, smiling slightly.

    Vivek

    Director of Engineering

    We’re closely connected to the whole business. Every day, we’re making quick decisions to improve the customer experience. Because these live changes impact the whole business, we deeply respect individual opinion and what others think about the end customer experience.
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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.