Data Scientist (m/f/d)

In the Analytics Team at Migros, we develop solutions for location, space, and assortment decisions in the supermarket business using statistics, ML, and optimisation methods. Together with the business, we accompany our projects from the initial idea to productive deployment. Do you want to create added value for Migros with your work? Then you are in the right place with us! What you will achieve• You translate strategic business questions into impactful analytics use cases and support internal customers in a partnership manner in developing data-driven solutions with real added value • You are responsible for and manage analytics use cases throughout the entire lifecycle – from conception and analysis to productive implementation and efficient operation in close collaboration with data engineers • You apply classical statistical methods, machine learning, and agentic AI purposefully and develop effective solutions on our modern tech stack: GCP (BigQuery, Gemini Enterprise Agent Platform), dbt, Python, NiceGUI, Vue.js • You analyse data, derive decision-relevant insights, and thus create the basis for well-founded decisions • You prepare insights, recommendations, and solution concepts appropriately for technical and non-technical stakeholders and communicate them convincingly What you bring• Education: Completed degree (Uni/ETH, FH, HF) • Field: In a quantitative discipline such as natural sciences, mathematics, computer science, or a similar area • Professional experience: At least three years of practical experience in independently conducting data science projects in a business context • Enjoyment in taking responsibility for solutions and developing them further professionally, technically, and operationally together in a team • Proven experience in applying statistical methods, machine learning, and analytical procedures to solve concrete business questions • Solid knowledge in data analysis and development of data-driven solutions with SQL and Python, experience handling large data volumes on modern cloud platforms such as GCP • Practical experience with MLOps, CI/CD, and productive implementation of ML solutions • Ability to quickly grasp strategic and operational requirements, translate them into impactful analytics use cases, and develop pragmatic, targeted solutions even with unclear requirements • Experience in applying and developing (agentic) AI solutions • Experience in technical/content leadership of project teams • Experience in the retail environment • German (C1) • English (A2) What we offer you• Mobile-flexible working model: Temporal and spatial flexibility in fulfilling the role (as a guideline 40% home office) • Central workplace: Central workplace in the city of Zurich (Limmatplatz or near Hardbrücke) • Fair salaries: Function-oriented and market-appropriate remuneration – "We pay fair" certified • Occupational pension: Above-average benefits and three different savings plans suitable for individual life situations • Scope for design and decision-making: Opportunity to independently shape and further develop the field of tasks • Migros Bank: Free account management and preferential interest rates on private and investment accounts Recruitment process• Submit application documents • Pre-selection of applications • Interview with HR & specialist department • Technical interview with case presentation • Meet the team • Offer & contract issuance (digital) Contact Mr Yanick Mohn Talent Acquisition Partner No suitable positions? Set up a job alert to conveniently receive suitable job offers by email. Create job alert