Sundayy
Data Scientist
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About The Company
On is a globally recognized leader in innovative athletic footwear and apparel, dedicated to redefining the boundaries of performance and design. With a strong commitment to sustainability, technological advancement, and customer-centric solutions, On has established itself as a pioneer in the sportswear industry. Our company prides itself on fostering a dynamic and inclusive work environment that encourages creativity, collaboration, and continuous learning. Operating across multiple regions, On leverages cutting-edge research and development to deliver products that enhance athletic performance while promoting a healthy and active lifestyle. Our global presence is supported by a passionate team of professionals who are committed to creating meaningful impact through innovation and excellence.
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 role, you will define and execute the vision for personalization across On’s digital platforms, ensuring alignment with our broader commercial objectives and technological strategies. You will spearhead high-impact projects involving the architecture, training, and deployment of advanced machine learning models, both batch and real-time, to enhance customer engagement and business outcomes. The ideal candidate will operate at the intersection of technology, product management, and business strategy, translating complex data science concepts into actionable solutions that deliver measurable value. You will serve as a core technical authority, mentor talent, and collaborate closely with internal teams and external partners to push the boundaries of personalization technology in a fast-paced, innovative environment.
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Qualifications
- 10+ years of experience in building and deploying personalization engines, recommendation systems, and customer-level predictive models in D2C or E-commerce environments
- Proficiency in Python and modern machine learning libraries such as PyTorch, JAX, and TensorFlow
- Extensive experience with cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS)
- Strong understanding of event-driven architectures, including Kafka and streaming data processing
- Hands-on experience with end-to-end MLOps practices, model training, deployment, and monitoring
- Proven track record of working collaboratively with Product Management and external Tech Partnerships to solve complex business challenges
- Experience in deploying Generative AI applications and integrating AI to accelerate engineering workflows
- Excellent storytelling, presentation, and communication skills, capable of explaining complex algorithms to diverse audiences
- Advanced knowledge of real-time machine learning model deployment and governance
- Strong leadership skills with the ability to influence senior stakeholders and lead cross-functional initiatives
Responsibilities
- Define and lead the strategic vision for personalization and customer-level algorithms across On’s platforms
- Architect, train, and deploy scalable machine learning models in production environments, ensuring high quality and governance standards
- Collaborate with Product Management and external partners to understand key business challenges and develop targeted algorithmic solutions
- Drive business impact by focusing on quantifiable outcomes through experimentation, A/B testing, and continuous optimization
- Evaluate and incorporate emerging commercial technologies and partner platforms into existing data science architectures
- Simplify complex data science architectures and machine learning concepts for diverse audiences, including leadership and non-technical teams
- Establish and maintain standards for real-time model training, MLOps infrastructure, and algorithmic quality assurance
- Mentor and develop data science and engineering teams, fostering a culture of innovation, excellence, and continuous learning
- Act as a technical authority on data science initiatives, influencing broader organizational strategies and standards
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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 tools
- Supportive and inclusive work environment
- Wellness programs promoting physical and mental health
- Global mobility and career growth opportunities
Equal Opportunity
On is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace where all employees are treated with respect and fairness. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected characteristic. Our recruitment, retention, and promotion practices are designed to ensure equal opportunity for all qualified candidates, and we actively seek to create a work environment that reflects the diversity of our global community.
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