Data scientist Jobs in Uster

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.

Your Mission

• Drive Topline Impact: 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 & Implement: Design, develop, and implement state-of-the-art optimization models to drive a more efficient, resilient, and reliable supply chain.
• Lead End-to-End Projects: Lead complex, end-to-end optimization projects from conception to deployment, ensuring they meet business needs and are scalable and robust.
• Strategic Guidance: Provide guidance on forecasting approaches and how they impact supply chain optimization and performance.
• Cross-Functional Leadership: 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.
• Thought Leadership: Act as a thought leader in the field of supply chain optimization and forecasting, staying abreast of the latest research and technologies and identifying opportunities to apply them at On.
• Team Development: Mentor and coach other data scientists, providing technical guidance and helping them grow in their careers while contributing to the development of our data science platform and infrastructure.

Your Story

• A Proven Expert: You have a deep understanding of statistical modeling, machine learning, and time-series forecasting, with a proven track record of solving complex business problems.
• Technical Background: You hold a Master's or Ph.D. in a quantitative field and have 8+ years of experience in data science, with a focus on optimization and forecasting in the context of supply chains.
• Hands-on Leader: You are a hands-on-keyboard data scientist and strategic thinker who can lead projects, mentor others, and drive technical decisions.
• Technical Toolkit: You are an expert in Python and SQL, with experience in libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), optimization software (e.g. Gurobi), and large-scale data processing (e.g. Spark).
• Production Experience: You have a history of deploying and maintaining machine learning and optimization models in a production environment.
• Collaborative Partner: You are a strong communicator who can build relationships with stakeholders at all levels, translating complex technical concepts into business terms to drive alignment.

Meet The Team

You will be part of a growing and diverse team of ML engineers, data scientists, data engineers, and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We focus on building and operating the creative and impactful models that personalize experiences, optimize 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.

What We Offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. 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.