Ecommerce Data Scientist

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

About the role:

The ecommerce landscape is evolving rapidly, requiring strong analytical capabilities to turn data into actionable insights. At Versuni, we believe data plays a critical role in driving better decisions, improving performance, and enabling sustainable growth.

We are looking for a driven and analytical Ecommerce Data Scientist to join our team. In this role, you will take ownership of key analytical and data science initiatives, applying statistical techniques and machine learning to solve business problems and influence decision-making. You will work closely with cross-functional teams and play a key role in delivering impactful data solutions.

If you enjoy owning problems end-to-end, uncovering insights, and driving business impact through data, this role is for you.

• Location: Netherlands.
• Salary: EUR 61600 - EUR 92400.
• Balanced office-based working, with flexibility to work from home based on team needs and individual circumstances.

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.

Machine Learning & Modelling

• 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.

Continuous Improvement

• 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 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 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

At Versuni we are committed to fair and equitable pay, ensuring equal pay for equal work across our organization. The final salary offered to the selected candidate will be determined according to candidate experience, skills, and qualification.

In addition, annual incentive and benefits are regulated according to internal policies, which may be applicable to the selected candidate.