Key Skills

Job Description

As a Senior Data Scientist in the Data Science and AI team, you will own the modelling and data science for ASICS' enterprise and operations domains — Supply Chain, Factory Planning, and Finance. You will be tasked with building and elevating the forecasting, planning, and optimisation models that help ASICS run its operations: demand forecasting, inventory and supply optimisation, production and factory planning, scenario / what-if analysis, and financial analytics. Increasingly, you will connect these models to natural-language and agentic interfaces so operations and finance teams can self-serve trusted, grounded answers and act on them. As a senior member of the team, you will also contribute to setting the technical direction across its domains, mentors data scientists, partners with Supply Chain, Planning, Operations, and Finance stakeholders across regions, and turns complex operational analytics into decisions the business can act on. How you will help us: Based in our Hoofddorp office and reporting to the Manager of AI, as part of the role you will: Own enterprise & operations modelling. You will own the development and continuous improvement of forecasting, planning, and optimisation models across Supply Chain, Factory Planning, and Finance (demand forecasting, inventory and supply optimisation, production planning, scenario / what-if analysis, and financial forecasting) using the Snowflake data platform, and set the technical approach across the domains. Bring operations data into agentic reach. You will build agentic and natural-language capabilities, including Conversational BI for operational and finance KPIs on the CoreKit platform, ground operational, ERP, and planning data so it can be consumed reliably by LLMs and agents. Partner with senior stakeholders. As the senior data science partner to Supply Chain, Planning, Operations, Manufacturing, Procurement, and Finance teams across regions, you will translate operational and financial problems into modelling work and results in decisions. Provide technical leadership and mentoring. You will mentor data scientists, raise modelling and optimisation standards, review approaches, and shape how the team builds and delivers models and agents, as well as explore and introduce new techniques, including operations research, GenAI, and agentic methods. Ensure model quality, governance, and production readiness. You will ensure models and data products are robust, monitored, documented, and production-ready in partnership with the Platform / Engineering team, and contribute to responsible-AI and governance practices, with attention to the internal operational data regime. You could be the right person for this role regardless of your age, nationality, religious beliefs or gender identification. ASICS welcomes diversity in our people, their backgrounds and life experiences. Does this sound like you? Quantitative foundation: You hold a degree in a quantitative discipline such as statistics, mathematics, operations research, industrial engineering, data science or computer science, or you bring equivalent demonstrated experience. Enterprise data science experience: You have 5+ years in data science or advanced analytics in an enterprise or operations context (supply chain, manufacturing, planning, logistics or finance), with a track record of owning models end-to-end and delivering measurable business impact. Forecasting and optimisation expertise: You bring strong skills in time-series and demand forecasting, inventory and supply optimisation, operations research and mathematical optimisation, and scenario and what-if modelling. Technical proficiency: You are highly proficient in SQL (Snowflake preferred) and Python (notebooks), and you have experience working with operational and ERP data (e.g. SAP) and planning systems. GenAI and natural-language interfaces: Experience connecting models to GenAI / LLM or natural-language interfaces, such as Conversational BI or Snowflake Cortex, is strongly desirable, and you adapt readily to a rapidly evolving AI landscape. Influence and technical leadership: You have proven experience communicating with operations and finance leaders, and you have mentored others and set technical direction. Your benefits Grow with us! Next to a salary that matches your experience and knowledge, we offer the opportunity to continuously develop yourself within a highly dynamic and multicultural team. We live by our mantra (Sound Mind, Sound Body), and to support you reach your potential we offer: 60% off sports membership. We’ll reimburse you for keeping a sound mind and body. Product discounts. Get ASICS or Onitsuka gear with a 50% discount. Runkeeper Go™ app. Free premium subscription to our running app. The possibility to work up to 5 weeks abroad each year. Employee wellness programme. Free mindfulness sessions, online yoga, bootcamp classes, and Lunch & Learn sessions. OpenUp Access. A platform that offers professional psychological assistance and meditation classes. Free running club. Join our beginners or intermediate groups for a weekly running session. Summer Fridays. Between June and August, start the weekend early at 13:00 on Fridays. Calm app. Unlimited access to help develop your mental fitness through sleep, mindfulness, and meditation. We are ASICS. And our five letters have meaning. ‘Anima Sana in Corpore Sano’ or a Sound Mind in a Sound Body. We’re committed to supporting more people to experience the transformative power of movement. This is your chance to join a truly purpose-driven brand. You will join a company focused on creating an inclusive environment that fosters diversity and individualism, healthy bodies, and healthy minds.

Core Responsibilities

Own and improve forecasting, planning, and optimization models across supply chain, factory planning, and finance, using Snowflake and operational data. Develop natural-language and agentic capabilities, partner with regional business stakeholders, mentor data scientists, and ensure models and data products are governed, monitored, and production-ready.

Requirements

Requires a quantitative degree or equivalent experience and at least five years of enterprise or operations-focused data science or advanced analytics experience, with end-to-end model ownership and measurable business impact. Candidates should have strong forecasting and optimization expertise, proficiency in Python and SQL (Snowflake preferred), experience with operational, ERP, and planning data, and the ability to influence stakeholders and provide technical leadership; GenAI or natural-language interface experience is desirable.

Benefits

• Sports Membership Reimbursement
• Product Discounts
• Free Runkeeper Go Subscription
• Work Abroad for up to Five Weeks per Year
• Employee Wellness Programme
• Psychological Assistance and Meditation
• Free Running Club
• Summer Fridays
• Calm App Subscription