In short

As a Machine Learning/Data Scientist specialized in marketing science, your mission is to elevate our marketing performance through building industry-leading machine learning & AI solutions. You will collaborate closely with marketing teams to design and execute data and machine learning pipelines that drive both efficient campaigns with marketing partners, and better real-time experiences in our web and app. This role demands strong business acumen and technical prowess to effectively translate broadly defined marketing problems into specific data, ML and AI solutions.

This role reports to the head of Machine learning and AI on the data science team, supporting our digital marketing teams.

Your Mission

  • Build strong relationships with key stakeholders like Digital Marketing or Customer Experience to design data flows and AI strategies.
  • Proactively identify, prioritize and solve challenging marketing problems leveraging your expertise in data and AI.
  • Drive research into the state of the art for marketing science
  • Lead the design and implementation of machine learning and AI pipelines to optimize marketing decision making in collaboration with marketing teams.
  • Develop and refine models such as Customer Lifetime Value, customer product recommendation, and churn prediction, incorporating advanced ML techniques and the latest GenAI technologies.
  • Be responsible for algorithm performance, including designing 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.
Group of girls smiling
  • 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 are a senior Data Scientist and a domain expert in marketing science, machine learning and AI algorithm design and production implementation, with a proven track record in the digital marketing landscape, particularly within a D2C/E-commerce environment and a clear understanding of prediction models, classifiers, user behavior and website performance.
  • You are proficient in batch and streaming ML & AI applications, with a proven ability to design and execute machine learning pipelines. You have a strong understanding of ML Operations principles.
  • You have a track record of identifying the right problem to solve at the right time, to maximize business impact.
  • You have excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders and drive consensus. You have experience with data visualization tools and techniques.
  • 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)
two women sitting at a table talking with laptops

About the Team

We're a growing team of passionate Data Scientists and Machine Learning Engineers working across On to 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 On. If optimising how we use and consume data to support On's growth through data is something you’re excited to be a part of, we'd love to hear from you!

See more
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
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

Woman laughing as she plays ping pong in the office!

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.
Happy women smiling and chatting in the office

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.