In short

As a Senior Data Scientist specialized in explainable AI and marketing science, your mission is to elevate our marketing performance through robust experimentation, advanced analytics, and compelling storytelling. You will collaborate closely with marketing teams to design and execute hypothesis-driven experiments, enhance our MMM and MTA models, and champion a unified marketing measurement framework. This role demands strong communication and leadership skills to effectively translate data-driven insights into actionable strategies and influence stakeholders.

Your Mission

  • Lead the design and implementation of a hypothesis-driven experimentation framework in collaboration with marketing teams, ensuring robust testing methodologies and statistically sound analysis.
  • Develop and refine our internal MMM and MTA models, incorporating advanced techniques and explainable AI to provide clear and actionable insights into marketing effectiveness.
  • Spearhead the development of a unified marketing measurement framework through triangulation and other innovative approaches, driving a deeper understanding of marketing performance across all channels.
  • Communicate complex data findings and recommendations in a clear and compelling manner to diverse audiences, including senior stakeholders, fostering data-driven decision-making across the organization.
  • Proactively identify and solve challenging business problems related to marketing measurement, attribution, and optimization, leveraging your expertise in data science and marketing science.
  • Interact with key stakeholders like Digital Marketing, Customer Experience, or Product Development Teams to outline strategies and pursue the realization of our shared company objectives.
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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 5+ years of experience as a Data Scientist specializing in explainable AI, marketing science, and experimental design, 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, marketing channel mix, attribution, user behavior and website performance.
  • You are proficient in statistical analysis, causal inference, and hypothesis testing, with a proven ability to design and execute robust hypothesis-driven experiments.
  • You possess a strong understanding of marketing-mix and attribution modeling, with experience in building and refining such models in an e-commerce and physical retail setting with numerous marketing channels in place.
  • 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) and MLOps principles is a plus.
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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 On - Optimising how we use data, how we consume data and how we support On's growth through data is something you could be a part of and we'd love to hear from you!

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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

    Technical Product Team, Zürich

    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.
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    Vivek Juneja

    Engineering, Berlin

    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.