Data Scientist - Operations

at  Wundermart

WHAT YOU CAN BRING

• A passion for data, complex analyses, and deriving actionable insights from them.
• Background in econometrics, operations research, data science, business analytics, or IT.
• 1-3 years of experience in data scientist roles; more experience is a plus.
• Experience in predictive modeling, including topics like demand forecasting, clustering, and optimization algorithms.
• Proficiency in programming statistical analyses in R or Python is preferred.
• Ideally you have experience in a supply chain or operational environment, preferably within retail or e-commerce.
• Experience designing and conducting experiments, such as A/B tests, is a plus.
• Affinity with operations research and supply chain management is a plus.
• Experience with machine learning is a plus.
• Experience with Power BI or similar tools is a plus.
• Proficiency in English (Dutch is a plus).
• You live at a commutable distance from our HQ in Amsterdam.

WHAT YOU WILL DO

As a Data Scientist (Operations) at Wundermart, you will be part of the Shop Intelligence team, a dynamic group dedicated to empowering the organization with data-driven decisions and improving and automating various processes. While you will collaborate closely with the Operations, Buying, and Supplier Management teams, your primary focus will be on optimizing supply chain efficiency, enhancing supplier performance, and driving cost savings across our network of over 200 shops.
Your role will involve leveraging data to develop and implement strategies that improve supplier relationships, optimize inventory management, and streamline buying processes. You will design experiments, build predictive models, and automate key operational processes, ensuring scalability across our international operations. Success in this role will require strong analytical skills, experience in data science projects, and the ability to work cross-functionally.
As part of the Shop Intelligence team, you will also collaborate with other members responsible for Assortment, Price, Promotion, and Routing & Placement, contributing to a holistic, data-driven approach across the organization.

KEY RESPONSIBILITIES

• Develop and implement data-driven strategies to optimize supplier performance, inventory management, and buying processes.
• Analyze large datasets to identify trends, patterns, and insights that inform operational decisions.
• Design, test, and analyze various operational strategies, and communicate the outcomes to stakeholders.
• Develop and deploy statistical models and algorithms to predict demand, assess supplier risk, and optimize buying strategies.
• Ensure data integrity, accuracy, and reliability by implementing robust quality control measures.
• Create and maintain reports, dashboards, and visualizations to clearly communicate findings and recommendations.
• Roll out successful projects across multiple countries, ensuring consistency and scalability, such as:
• Optimal routing and ordering
• Developing automated planograms
• Automated inbound and outbound flows
• Optional: Apply machine learning techniques to enhance predictive modeling and automate supply chain processes.