Principal Data Scientist

Myjob; Zürich; Vor Ort; CHF 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Growth environment

Equal opportunity employer

Thorough interview process

Zusammenfassung

On is seeking a Principal Data Scientist to shape the strategy for personalization and customer algorithms across our global platforms. You will architect, train, and deploy both batch and real-time models, partnering with Product Management and Tech Partnerships to solve high-impact customer needs.

You will lead complex, cross-functional initiatives, driving measurable business outcomes and mentoring teams in MLOps and modern ML stacks across Python, PyTorch, JAX, and TensorFlow.

Qualifikationen

• 10+ years of experience building and shipping personalization engines and predictive models.
• Proven ability to deploy real-time ML models and manage end-to-end ML pipelines.
• Strong track record partnering with product management and tech partnerships.

Aufgaben

• Chart the vision for personalization and customer-level algorithms aligned with business goals.
• Design, train, and deploy batch and real-time ML models into production with governance.
• Partner with Product Management and external Tech Partnerships to translate challenges into solutions.
• Drive measurable business outcomes and customer value across touchpoints.
• Lead cross-functional teams and set standards for MLOps and QA metrics.
• Mentor data science and engineering colleagues to raise technical standards.

Kenntnisse

Python

ML libraries

Cloud platforms

Kafka

MLOps

PyTorch

JAX

TensorFlow

Generative AI

Real-time training

Jobbeschreibung

As a Principal Data Scientist specializing in Personalization and Customer Algorithms, your mission is to set the strategic direction for customer modeling across On. You will lead high-impact initiatives to architect, train, and deploy personalization algorithms that deliver direct, measurable impact to our business and customers. Operating at the intersection of technology, product management, and commercial strategy, you will simplify technical complexity, navigate an evolving technology landscape, and partner with key product and technology partners to ensure we build algorithms that solve the right problems for our global customer base

Your Mission

• Chart the vision for personalization and customer-level algorithms, ensuring all projects align seamlessly with On’s broader commercial goals and north star tech strategy
• Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments
• Partner closely with Product Management and external Tech Partnerships to deeply understand core business challenges and design algorithms that directly solve high-impact customer needs
• Focus relentlessly on driving quantifiable business outcomes and customer value across every touchpoint, from web and app to personalized customer messaging
• Evaluate how we adopt and integrate changing commercial technologies and partner platforms
• Break down complex data science architectures and machine learning concepts to bring cross-functional leadership, product teams, and business partners along on the journey
• Act as a core technical authority on wider-On decisions, establishing standards for real-time model training, MLOps infrastructure, and algorithmic QA metrics
• Mentor and guide data science and engineering talent across the organization, fostering high technical standards and a culture of continuous learning

Your story

• You have 10+ years of experience in building and shipping personalization engines, recommendation systems, and customer-level predictive models in a fast-paced D2C or E-commerce environment. This should include real-time model training, streaming data processing, and deploying low-latency machine learning models to production systems
• Proven track record of working side-by-side with Product Management and Tech Partnerships to translate ambiguous business challenges into solutions that have measurable large scale impact on key company KPIs
• Strong history of defining success metrics and validating customer impact through rigorous experimentation, A/B testing, and continuous feedback loops, in partnership with analytics and product teams
• Proven ability to lead complex, company-wide initiatives, influence senior business leaders, and drive strategic consensus across multi-disciplinary teams
• Advanced proficiency in Python, modern machine learning libraries, cloud environments (e.g., GCP, AWS), event-driven architectures (e.g., Kafka), and end-to-end MLOps practices, PyTorch, JAX & Tensorflow
• Experience in both deploying Generative AI in customer applications, and using generative AI to accelerate engineering delivery workflows
• Outstanding storytelling and presentation skills, with the ability to explain complex algorithmic behavior clearly to technical and non-technical stakeholders alike

We are a fast-growing, collaborative team of Data Scientists and Machine Learning Engineers sitting within Technology. We build creative, end-to-end ML and Generative AI models that personalize customer experiences, optimize commercial decision-making, and predict future trends across On's global ecosystem. We thrive in an energetic, fast-paced environment where technology is seen as a key driver of innovation and customer delight

Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason

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