Senior Data Scientist (Marketing Science) für On AG in Zurich - jobzüri.ch
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      23.02.2026

      Senior Data Scientist (Marketing Science)

      • Zurich
      • Festanstellung 100%

      • Merken
      • drucken
       

      On AG

      On AG

      Senior Data Scientist (Marketing Science)

      As a Senior Data Scientist focused on Marketing Science, your mission is to transform how we measure and optimize our global marketing investments. You will be the statistical engine driving our marketing decision-making, building and scaling sophisticated models that decode the complexity of the customer journey. This role requires a blend of advanced statistical prowess and business acumen to move beyond the what of a model and define the so what for our strategy. You will empower our marketing teams with the clarity needed to fuel On’s rapid global growth through rigorous data-driven evidence

      Your Mission

      • Build and Evangelize Models: You will work autonomously to design, build, and maintain our suite of marketing decision-making tools, including Media Mix Models (MMM) and Multi-Touch Attribution (MTA)
      • Drive Business Action: Move beyond the build to champion innovative approaches; you will translate complex statistical outputs into actionable narratives that dictate how our business strategy should evolve
      • Master Complexity: Navigate significant data complexity and technical debt to provide high-quality statistical solutions that accurately reflect our multi-channel marketing environment
      • Lead Marketing Measurement and Experimentation: Design and execute advanced geo-testing and causal inference frameworks to validate model efficacy and measure true incremental impact
      • Communicate with Impact: Efficiently communicate complex statistical topics and model insights to both junior team members and executive stakeholders, ensuring clarity and alignment
      • Challenge the Status Quo: Proactively identify opportunities to improve our measurement ways of working, challenging existing conventions to ensure On remains at the cutting edge of marketing science
      • Strategic Planning: Clearly understand what to prioritize by managing the lifecycle of your projects from initial discovery through to production and stakeholder adoption
      • Foster Collaboration: Build a diverse network within On, collaborating with Digital Marketing and Product teams to ensure models are integrated into the daily rhythm of the business

      Your story

      • Expertise in Statistics: You have a strong grasp of advanced statistical modeling and causal inference methods, with a proven track record of building MMM, MTA, or similar econometric models in a D2C or E-commerce environment
      • Autonomous Execution: You have experience managing large projects independently, demonstrating the ability to deliver high-standard results without needing a predefined map
      • Complex Problem Solving: You are not afraid of being stretched and possess the technical prowess to navigate messy, large-scale datasets to extract reliable insights
      • Communicator & Influencer: You have excellent communication and presentation skills, with a demonstrated ability to influence team decisions and guide stakeholders through technical concepts
      • Strategic Thinker: You possess the business acumen to identify the right problem to solve at the right time, ensuring your work maximizes measurable business impact
      • Technical Proficiency: You are highly proficient in Python or R and SQL, with experience leveraging cloud-based platforms (e.g., Google Cloud/Vertex AI) to scale statistical applications
      • Mentorship Mindset: You enjoy sharing knowledge and providing clear guidance to peers and stakeholders, helping to elevate the collective technical bar of the team
      • Resilient and Agile: You thrive in a dynamic, fast-paced environment and maintain a proactive attitude when faced with the challenges of a rapidly scaling organization

      We are a growing team of passionate Data Scientists and Machine Learning Engineers working across On to build creative and impactful models that personalize experiences, optimize decision-making, and predict future trends. We sit within Technology and collaborate across the entirety of On—optimizing how we use and consume data to support growth. Our team environment is fast-paced, inclusive, and entrepreneurial, where we value innovative approaches and the courage to challenge the status quo

      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

      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
      • 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

      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

      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

      You'll start by submitting your application to a specific role

      Arbeitsort: Zurich