Ecommerce Data Scientist

Location: Netherlands, with balanced office-based working in Amsterdam and flexibility to work from home based on team needs. Work from abroad is available for up to 30 days per year.

Salary: EUR 61,600–92,400 gross annual base salary, plus an annual performance incentive.

Company

hirify.global develops home-living products, including air fryers and coffee appliances, sold under the Philips and other brands.

What you will do

• Own analytical and data science projects from problem definition through delivery of insights and recommendations.
• Analyze ecommerce performance across traffic, conversion, retention, and revenue to identify optimization opportunities.
• Build dashboards, reports, and visual narratives that help stakeholders track and act on key metrics.
• Develop, deploy, evaluate, monitor, and maintain predictive models for regression, classification, clustering, and forecasting.
• Collect, prepare, and manage large datasets while ensuring data quality and reliability.
• Partner with Ecommerce, Marketing, Product, and Operations to deliver data-driven solutions.

Requirements

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field.
• 5+ years of experience in data science, ecommerce analytics, or similar roles.
• Proficiency in Python and/or R, with strong SQL skills for querying complex datasets.
• Experience with machine learning, statistical modeling, predictive analytics, and data mining.
• Experience with Tableau, Power BI, or similar data visualization tools.
• Strong problem-solving and communication skills, including the ability to translate business needs into data solutions.

Nice to have

• Experience in global or multi-market environments.
• Knowledge of Databricks for data engineering.

Culture & Benefits

• International environment with a global team of more than 6,000 people and an inclusive, diverse culture.
• Work-from-home, commuting, and phone allowances.
• Company pension scheme with above-average contributions.
• Holiday policy with care days, enhanced parental leave, and an option to purchase additional leave.
• Health insurance, gym membership, bicycle plan, and product discounts.
• Learning and career development opportunities in a high-growth environment.