Senior Data Scientist

We're looking for a Senior Data Scientist with strong analytical judgment and a practical approach to causal methods to solve advanced analytics problems in e-commerce.

🎯 The role

Join the Data Science team and work on advanced analytics at the core of the product, including measuring the real impact of retail media campaigns, promotions, pricing changes, and availability changes on sales. You will work with very large datasets collected daily across more than 1,000 e-retailers in over 60 countries.

The right candidate will prioritize reliable, actionable answers over unnecessarily complex models. You will work closely with business and product teams, making clear communication as important as robust analysis.

🎯 Responsibilities

• Design and develop impact measurement solutions for clients, from the analytical approach through to scalable implementation.
• Efficiently explore and analyze large-scale e-commerce data, including prices, availability, search, retail media, and sales data.
• Identify the factors that drive sales and validate that analytical results make business sense.
• Choose the appropriate level of complexity for each problem: start with a simple approach, iterate, and add sophistication when it creates real value.
• Work with Product, Data Engineering, and Machine Learning Engineering teams to turn analyses and models into platform features.
• Communicate findings, assumptions, and limitations clearly to non-technical colleagues and, when needed, clients.
• Share knowledge across the team and support less experienced data scientists.

🛠️ Requirements

• At least 4 years of experience as a Data Scientist or in an advanced analytics role, with solutions used in a real business context.
• Strong background in statistics, experimentation, A/B testing, and working with messy, real-world data.
• Knowledge of causal inference methods, such as difference-in-differences, synthetic control, matching, and uplift modeling, including when each approach is appropriate.
• Strong Python and SQL skills, with hands-on experience working efficiently with large datasets.
• Ability to explain technical results clearly and simply.
• Fluency in English and Spanish.

➕ Nice to have

• Experience in e-commerce, retail media, marketing measurement, or consumer packaged goods (CPG).
• Experience with cloud environments, preferably AWS.
• Experience with data platforms such as Snowflake.

🤝 How you work

• Value scientific rigor as much as simplicity.
• Take the time to understand the client’s problem, not just the data.
• Question results and communicate honestly what the data can and cannot show.
• Collaborate effectively with people from different backgrounds and roles.

🤗 What we offer

• Work with an international team representing more than 10 nationalities.
• Join a dynamic and innovative environment.
• Contribute to challenging, impactful projects.
• Flexible benefits, including the option to allocate part of your gross salary before tax to meal vouchers, transport allowance, and private healthcare at a preferential rate.
• Fresh fruit and specialty coffee.
• Permanent contract.