Ecommerce Data Scientist

Select how often (in days) to receive an alert:

Location:

NL

Data Analysis & Problem Solving:

• Own end-to-end analytical projects, from problem definition to delivery of insights and recommendations.
• Translate business questions into structured analytical approaches and measurable outputs.
• Perform deep-dive analyses to identify trends, drivers, and opportunities.

Data Visualization & Storytelling

• Design and build dashboards and reports (e.g., Power BI) that enable stakeholders to track and act on key metrics.
• Communicate insights clearly through compelling visualizations and narratives that drive decisions.
• Develop, deploy, and refine predictive models (e.g., regression, classification, clustering, forecasting).
• Evaluate model performance and iterate to improve accuracy and business relevance.
• Take ownership of models in production, including monitoring and maintenance.

Data Collection, Preparation & Management

• Own data collection and preparation processes, ensuring data quality, consistency, and reliability.
• Work with large datasets and shape them into usable formats for analysis and modelling.

Business Collaboration

• Partner closely with teams such as Ecommerce, Marketing, Product, and Operations to identify opportunities and deliver data-driven solutions.
• Analyse ecommerce performance across the funnel (traffic, conversion, retention, revenue) to drive optimization.
• Translate analytical outputs into actionable recommendations that influence business outcomes.

Tools & Technologies

• Use Python, R, SQL, and visualization tools to deliver scalable analytical solutions.
• Work with cloud and data platforms (e.g., AWS, Azure, Databricks) to operationalize analyses.
• Proactively identify opportunities to improve data processes, models, and methodologies.
• Stay current with emerging tools and techniques in data science.

• Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related field.
• 5+ years' experience in data science, ecommerce analytics, or similar roles; in global/multi-market environments preferred.
• Proven ability to independently own and deliver analytical or data science projects.
• Proficiency in Python and/or R for data analysis and modeling.
• Strong SQL skills with the ability to query large, complex datasets.
• Experience in machine learning, statistical modeling, predictive analytics, and data mining.
• Knowledge of Databricks for data engineering is a plus
• Experience in data visualization tools (Tableau, Power BI, or similar).
• Strong problem-solving skills and ability to translate business needs into data solutions
• Effective communication skills with the ability to influence stakeholders through data.

• Internationally competitive base salary | benchmarked against global industry and market leaders
• Performance-based Annual Incentive Program | rewarding those who dare and achieve more
  
  Top of the market pension scheme | with higher-than-average company contributions
• Work from home, commuting and phone allowances | to support your daily commute, home office setup & business connectivity
• Balanced office-based working | With a strong focus on in-office collaboration, we offer flexibility to work from home based on team needs and individual circumstances.
• Work from abroad | Up to 30 days per year.
• Structured holiday policy | Includes defined care days, enhanced maternity/paternity leave, and a capped option to purchase additional leave days annually.
• Bicycle Plan | possibility to select a company bicycle for daily commute along with accessories & insurance
• Health Insurance Discount | when signing up with our partner insurance
• Gym Membership Discount | to support…