Ecommerce Data Scientist

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

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

Job Title: Ecommerce Data Scientist

Location: NL

The impact you'll make:

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.

The skills and knowledge you'll bring:

• 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.

What we'll give you in return:

• Internationally competitive base salary | benchmarked against global industry and market leaders
• Performance-based Annual Incentive Program | rewarding those who dare and achieve moreTop 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 your focus on health and wellbeing
• Product Discounts | on all Versuni products which are sold under the Philips brand and our other brands
• An office that feels like home | easily accessible and modern office location in Amsterdam with lots of tasty lunch choices around
• High growth environment | offering exciting learning and career development perspectives beyond your first role
• Inclusive working culture and family spirit | we embrace our international community & diversity as competitive advantage

Ready to make an impact?

From developing game-changing air fryers to perfecting the art of coffee making, Versuni's purpose is turning houses into homes - and we're calling on your talent to bring it to life. Join our global team of 6,000+ passionate individuals, work with world-class brands, and shape the future of home living. We're ready for you — are you ready for us?