Sundayy
Data Scientist
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About The Company
On is a globally recognized leader in innovative athletic footwear and apparel, committed to redefining the running experience through cutting-edge technology and design. With a strong focus on sustainability, performance, and customer-centric solutions, On continuously pushes the boundaries of innovation to inspire and empower athletes worldwide. Our diverse team of passionate professionals collaborates across continents to deliver products that blend functionality with style, fostering a community dedicated to active living and personal growth. Headquartered in Zurich, Switzerland, and with a significant presence in London, On prides itself on fostering a culture of creativity, inclusivity, and continuous learning, making it an exciting place for ambitious professionals to thrive.
About The Role
We are seeking a highly experienced Principal Data Scientist specializing in Personalization and Customer Algorithms to lead our strategic initiatives in customer modeling. In this pivotal role, you will define the vision and direction for personalization engines that enhance customer experiences across all touchpoints. You will oversee the design, development, and deployment of sophisticated machine learning models, both batch and real-time, to deliver measurable business impact. Operating at the intersection of technology, product management, and commercial strategy, you will simplify complex technical concepts for diverse stakeholders, ensuring alignment with On’s broader goals. As a core technical authority, you will establish standards for model training, MLOps infrastructure, and algorithmic quality assurance, while mentoring a talented team of data scientists and engineers. This role offers an exceptional opportunity to influence the future of personalized customer experiences on a global scale, working closely with cross-functional teams and external partners to solve high-impact challenges.
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Qualifications
- 10+ years of experience in building and deploying personalization engines, recommendation systems, and customer-level predictive models in fast-paced D2C or E-commerce environments.
- Proficiency in Python and modern machine learning libraries such as PyTorch, TensorFlow, and JAX.
- Extensive experience with cloud platforms including GCP and AWS.
- Strong knowledge of event-driven architectures like Kafka and end-to-end MLOps practices.
- Experience deploying real-time and low-latency machine learning models into production systems.
- Proven track record of translating business challenges into scalable technical solutions with measurable KPIs.
- Expertise in conducting rigorous experimentation, A/B testing, and validation of customer impact.
- Ability to lead cross-disciplinary initiatives and influence senior leadership.
- Outstanding storytelling and communication skills, capable of explaining complex concepts to technical and non-technical audiences.
- Experience with Generative AI applications in customer contexts and engineering workflows.
Responsibilities
- Define and drive the strategic vision for personalization and customer-level algorithms aligned with On’s commercial and technical objectives.
- Lead the design, training, and deployment of batch and real-time machine learning models within well-governed production environments.
- Collaborate closely with Product Management and external technology partners to understand core business challenges and develop impactful algorithms.
- Focus on delivering quantifiable business outcomes and enhancing customer value through personalized experiences.
- Evaluate and integrate emerging commercial technologies and partner platforms into existing data science architectures.
- Simplify complex data science architectures and machine learning concepts for diverse teams, fostering cross-functional understanding and collaboration.
- Establish standards for real-time model training, MLOps infrastructure, and algorithmic quality assurance metrics.
- Mentor and develop data science and engineering talent, promoting high technical standards and a culture of continuous improvement.
- Act as a technical authority in wider organizational decisions related to personalization and customer algorithms.
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Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and wellness benefits.
- Flexible working hours and remote work options.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge technology and innovative projects.
- Supportive and inclusive work environment fostering growth and collaboration.
- Employee assistance programs focused on mental and physical well-being.
Equal Opportunity
On is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all employees are valued and respected. Decisions related to recruitment, promotion, and retention are made without discrimination based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe diversity drives innovation and are dedicated to creating a workplace that reflects the global communities we serve.
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