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About the Role
Versuni is seeking a driven and analytical Data Scientist to leverage data science and machine learning to solve business problems, influence decision-making, and drive sustainable growth in the evolving ecommerce landscape. This role involves owning analytical initiatives end-to-end, collaborating with cross-functional teams, and delivering impactful data solutions.
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.
Requirements
- 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.
Skills
- Python
- R
- SQL
- Data Visualization
- Machine Learning
- Statistical Modeling
- Predictive Analytics
- Data Mining
- Databricks
- Power BI
- Tableau
- AWS
- Azure
Location
- Amsterdam
Work Type
- Hybrid
- Work from home
- Work from abroad
Experience Level
- 5+ years
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- Internationally competitive base salary
- Performance-based Annual Incentive Program
Benefits
- Top of the market pension scheme
- Work from home allowance
- Commuting allowance
- Phone allowance
- Structured holiday policy
- Care days
- Enhanced maternity/paternity leave
- Option to purchase additional leave days
- Bicycle Plan
- Health Insurance Discount
- Gym Membership Discount
- Product Discounts
About the Company
- Versuni's purpose is turning houses into homes.
- Join our global team of 6,000+ passionate individuals, work with world-class brands, and shape the future of home living.
- We are ready for you — are you ready for us?
Equal Opportunity
- Inclusive working culture and family spirit
- We embrace our international community & diversity as competitive advantage