Ecommerce Data Scientist — Insights & Predictive Analytics

Versuni; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Work from home allowance

Commuting and phone allowances

Balanced office-based working with in‑

Office in Amsterdam

Structured holiday policy

Bicycle Plan

Health Insurance Discount

Gym Membership Discount

Product Discounts

Growth and development opportunities

Inclusive working culture and family

Job summary

Versuni in Amsterdam is seeking an Ecommerce Data Scientist to drive data-driven decisions across Ecommerce, Marketing, Product and Operations. You will own analytical projects from problem definition to delivering insights and actionable recommendations, and you will build dashboards to enable stakeholders to monitor key metrics.

You will develop, deploy and maintain predictive models, work with Python/R and SQL, and collaborate with cross-functional teams to translate analyses into business

Qualifications

• Bachelor's or Master's degree in a relevant field.
• 5+ years' experience in data science, ecommerce analytics, or similar roles.
• Proficiency in Python and/or R for data analysis and modeling.
• Strong SQL skills for querying large, complex datasets.
• Experience in machine learning, predictive analytics, and data mining.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Python

R

SQL

Machine Learning

Statistics

Communication

Education

Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related field

Tools

Tableau

Power BI

Databricks

AWS

Job description

Versuni in Amsterdam is seeking an Ecommerce Data Scientist to drive data-driven decisions across Ecommerce, Marketing, Product and Operations. You will own analytical projects from problem definition to delivering insights and actionable recommendations, and you will build dashboards to enable stakeholders to monitor key metrics.

You will develop, deploy and maintain predictive models, work with Python/R and SQL, and collaborate with cross-functional teams to translate analyses into business