Ecommerce Data Scientist

Concorde network B.V; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Internationally competitive salary

Annual incentive program

Pension scheme

Work from home allowances

Work from abroad up to 30 days

Gym membership discount

Product discounts

Amsterdam office

Career development

Job summary

Versuni in Amsterdam is seeking a data scientist to own analytical and data science initiatives across Ecommerce. You will apply statistical techniques and machine learning to solve business problems and influence decision-making, working with cross-functional teams.

You will build dashboards, perform deep-dive analyses, develop predictive models, and ensure data quality while translating insights into actionable recommendations. If you enjoy turning data into impact, this role is for you.

Qualifications

• 5+ years’ experience in data science, ecommerce analytics, or similar roles.
• 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).

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 visualizations and narratives that drive decisions.
• Develop, deploy, and refine predictive models (e.g., regression, classification, clustering, forecasting).
• Take ownership of models in production, including monitoring and maintenance.

Skills

Python

R

SQL

Statistics

Data Visualization

Communication

Problem Solving

Team Collaboration

Education

Bachelor's/Master's in Statistics, CS, Math

Tools

Databricks

Tableau

Power BI

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 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.

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
• 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?