Ecommerce Data Scientist — Insights, ML & Growth

Versuni (formerly Philips Domestic Appliances); Amsterdam; Hybrid; EUR 62,000 - 92,000; Full time

Benefits offered by this job

Work from home flexibility

Flexible hybrid work model

Competitive pension

Job summary

Versuni in Amsterdam is seeking an Ecommerce Data Scientist to own end-to-end analytics initiatives, applying statistical techniques and machine learning to solve business problems and influence decisions. You will collaborate with Ecommerce, Marketing, Product and Operations to deliver data-driven solutions.

Design dashboards (Power BI/Tableau), work with large datasets, and communicate insights to stakeholders while maintaining high data quality and scalable analyses.

Qualifications

• Masters or PhD in Statistics, CS, Math, Engineering, Economics or related field.
• 5+ years in data science, ecommerce analytics, or similar roles.
• Ability to independently own and deliver analytical/data science projects.
• Proficiency in Python and/or R for data analysis and modeling.
• Strong SQL skills for large datasets.
• Experience in ML, predictive analytics and data mining.
• Databricks knowledge is a plus.
• Experience with data visualization tools (Tableau, Power BI).

Responsibilities

• Own end-to-end analytical projects from problem definition to insights delivery.
• Translate business questions into structured analytical approaches and measurable outputs.
• Perform deep-dive analyses to identify trends, drivers and opportunities.
• Design and build dashboards/reports (Power BI) for stakeholders.
• Develop, deploy and refine predictive models; monitor in production.
• Own data collection and preparation, ensuring data quality and reliability.
• Collaborate with Ecommerce, Marketing, Product and Operations to deliver data-driven solutions.
• Explore opportunities to improve data processes and methodologies.

Skills

Python

R

SQL

Power BI

Tableau

Machine Learning

Databricks

Education

Master's degree

Tools

Python

Job description

Versuni in Amsterdam is seeking an Ecommerce Data Scientist to own end-to-end analytics initiatives, applying statistical techniques and machine learning to solve business problems and influence decisions. You will collaborate with Ecommerce, Marketing, Product and Operations to deliver data-driven solutions.

Design dashboards (Power BI/Tableau), work with large datasets, and communicate insights to stakeholders while maintaining high data quality and scalable analyses.