Ecommerce Data Scientist

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.

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.

• 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.

• 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…