Sundayy
Data Scientist
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About The Company
On is a globally recognized leader in innovative athletic footwear and apparel, dedicated to enhancing athletic performance and inspiring an active lifestyle. With a strong emphasis on technology-driven products, On combines cutting-edge design with advanced engineering to deliver exceptional customer experiences. Our commitment to sustainability, quality, and customer-centricity has established us as a trusted brand across the world. Operating across multiple regions, we foster a culture of innovation, growth, and inclusivity, empowering our employees to make a meaningful impact in the sports and lifestyle industry.
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 set the vision and roadmap for personalization engines that enhance our customer engagement and drive measurable business outcomes. You will operate at the intersection of technology, product management, and commercial strategy, translating complex data science concepts into impactful solutions. Your expertise will guide the development, deployment, and governance of advanced machine learning models, both batch and real-time, ensuring they are aligned with On’s broader goals. You will collaborate closely with cross-functional teams, including product managers, engineering, and external partners, to craft algorithms that address high-impact customer needs and optimize the user experience across web, app, and messaging platforms. Additionally, you will mentor and develop data science talent, fostering a culture of excellence and continuous learning within the organization.
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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.
- Hands-on experience with cloud platforms, including GCP and AWS.
- Strong knowledge of event-driven architectures, such as Kafka, and end-to-end MLOps practices.
- Experience in deploying low-latency machine learning models in production environments.
- Proven track record of translating ambiguous business challenges into scalable data science solutions with measurable KPIs.
- Expertise in real-time model training, streaming data processing, and model governance.
- Experience with Generative AI applications, including deployment in customer-facing solutions and accelerating engineering workflows.
- Excellent storytelling and presentation skills, capable of communicating complex concepts to diverse audiences.
- Strong leadership skills with the ability to influence senior stakeholders and lead cross-functional initiatives.
Responsibilities
- Define and execute the strategic vision for personalization and customer-level algorithms aligned with On’s business objectives and technical strategy.
- Lead the design, training, and deployment of sophisticated batch and real-time machine learning models in production environments.
- Collaborate with Product Management and external technology partners to understand core business challenges and develop tailored algorithms that address high-impact customer needs.
- Ensure all models and algorithms adhere to governance standards, including model validation, QA metrics, and compliance requirements.
- Drive quantifiable business outcomes by continuously optimizing personalization strategies across digital touchpoints.
- Evaluate emerging technologies and integrate innovative commercial platforms into existing data science architectures.
- Translate complex machine learning architectures into clear, actionable insights for cross-functional teams and leadership.
- 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 technical excellence and continuous improvement.
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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, training, and certifications.
- Inclusive and collaborative work environment promoting diversity and inclusion.
- Access to cutting-edge tools and technologies for innovation and growth.
- Well-being programs supporting physical and mental health.
Equal Opportunity
On is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace where all employees are valued and respected. All employment decisions are made without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, or any other protected status. We believe that diverse teams drive innovation and success, and we welcome applicants from all backgrounds to join our journey.
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