Staff Data Scientist - Supply Chain

As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting‑edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data‑driven decisions at a global scale.

You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On.

• Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on what needs to happen from both a technology, algorithm, and process perspective to achieve results.
• Design, develop, and implement state‑of‑the‑art optimization models to drive a more efficient, resilient, and reliable supply chain.
• Lead complex, end‑to‑end optimization projects from conception to deployment, ensuring they meet business needs and are scalable and robust.
• Provide guidance on forecasting approaches and how they impact supply chain optimisation and performance.
• Collaborate with senior stakeholders across the organization, including Demand Planning, Supply Planning, Product, and Controlling, to guide supply chain strategy so that it can best take advantage of data & AI.
• Act as a thought leader in the field of supply chain optimisation and forecasting, staying abreast of the latest research and technologies and identifying opportunities to apply them at On.
• Mentor and coach other data scientists, providing technical guidance and helping them grow in their careers.
• Contribute to the development of our data science platform and infrastructure, ensuring we have the tools and processes to build and deploy models efficiently.

• A deep understanding of statistical modeling, machine learning, and time‑series forecasting. You have 8+ years of experience in data science, with a focus on optimisation in the context of supply chains. Experience building forecasting models is also desired.
• A Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• A hands‑on‑keyboard data scientist who is also a strategic thinker. You can lead projects, mentor others, and drive technical decisions.
• Expertise in Python and SQL, and experience with data science libraries such as Pandas, NumPy, Scikit‑learn, and TensorFlow/PyTorch. Experience deploying and maintaining machine learning and optimisation models in a production environment.
• Experience with optimisation software such as (but not limited to) Gurobi, as well as fluency in large‑scale data processing and distributed computing frameworks (e.g. Spark).
• A strong communicator who can build relationships with stakeholders at all levels of the organization. You can translate complex technical concepts into business terms and drive alignment around your proposed solutions.
• Are passionate about using data to drive business impact and are excited about the opportunity to shape the future of On’s supply chain.

You will be part of a growing and diverse team of ML engineers, data scientists, data engineers, and product managers passionate about revolutionising how we leverage AI/ML to solve complex challenges across On. We focus on building and operating the creative and impactful models that personalise experiences, optimise decision‑making, and predict future trends. The team operates in a fast‑paced environment and is used to rapid turnaround times and ambitious targets. The shared goal is efficient growth at high speed, ensuring our ML systems scale with On's needs.

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.