Sundayy
Data Scientist
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About The Company
On is a globally recognized leader in innovative sportswear and performance footwear, dedicated to pushing the boundaries of athletic performance through cutting-edge technology and design. With a strong commitment to sustainability, quality, and customer-centricity, On has established a reputation for delivering products that combine style, comfort, and functionality. Our company fosters a dynamic and inclusive environment where creativity and technological advancement are at the core of our mission to inspire movement and elevate sports experiences worldwide. Operating across multiple continents, On continues to expand its influence by integrating advanced data-driven strategies into its core operations, ensuring personalized customer experiences and optimized business outcomes.
About The Role
We are seeking a highly experienced Principal Data Scientist specializing in Personalization and Customer Algorithms to lead our global customer modeling initiatives. In this strategic role, you will define the vision for personalization across On’s digital platforms, including web and mobile channels, and oversee the development, training, and deployment of sophisticated machine learning models that enhance customer engagement and drive measurable business impact. You will operate at the intersection of technology, product management, and commercial strategy, translating complex data science concepts into actionable solutions. Your leadership will be instrumental in shaping the future of our personalization efforts, ensuring alignment with On’s broader commercial objectives and technological roadmap. This role demands a strategic thinker with a proven track record in deploying real-time, low-latency machine learning models in high-growth environments, and a passion for mentoring talent and fostering innovation across teams.
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Qualifications
- 10+ years of experience in building and deploying personalization engines, recommendation systems, and customer-level predictive models.
- Extensive hands-on experience with real-time model training, streaming data processing, and low-latency machine learning deployment.
- Proficiency in Python and modern machine learning libraries such as PyTorch, TensorFlow, and JAX.
- Strong knowledge of cloud platforms including GCP and AWS.
- Experience with event-driven architectures (e.g., Kafka) and end-to-end MLOps practices.
- Proven ability to translate ambiguous business challenges into scalable data science solutions with measurable impact.
- Experience in deploying Generative AI models for customer applications and engineering workflows.
- Exceptional storytelling and communication skills, capable of explaining complex algorithms to diverse audiences.
- Proven leadership in managing cross-functional teams and influencing senior stakeholders.
- Advanced degree in Computer Science, Data Science, or related field preferred.
Responsibilities
- Define and drive the strategic vision for personalization and customer-level algorithms aligned with On’s commercial and technological goals.
- Lead the design, development, and deployment of batch and real-time machine learning models in production environments.
- Collaborate closely with Product Management and external technology partners to understand core business challenges and develop targeted algorithmic solutions.
- Ensure the development of scalable, well-governed machine learning architectures that deliver high-impact customer insights and personalization.
- Establish standards and best practices for real-time model training, MLOps infrastructure, and algorithmic quality assurance.
- Evaluate emerging technologies and platforms to enhance personalization capabilities and integrate new commercial tools.
- Break down complex data science architectures and communicate technical concepts effectively across teams.
- Mentor and develop data science and engineering talent, fostering a culture of continuous learning and high technical standards.
- Measure and validate the impact of personalization initiatives through rigorous experimentation, A/B testing, and analytics.
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Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health insurance coverage.
- 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 promoting diversity and inclusion.
- Well-being programs including physical and mental health resources.
- Global mobility and travel opportunities.
Equal Opportunity
On is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with fairness and respect, regardless of race, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. We believe diversity drives innovation and success, and we welcome applications from individuals of all backgrounds to join our dynamic team.
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