(Senior) Data Scientist – Search / Relevance (m|w|d)
Confidential
Posted: April 28, 2026
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Quick Summary
We're looking for a talented Data Scientist to join our Berlin-based team, where you'll contribute to shaping the search experience for millions of customers. The ideal candidate will have expertise in data analysis, machine learning, and software development. You'll be part of a dynamic team with a strong focus on innovation and customer satisfaction.
Required Skills
Job Description
Our team helps millions of people every day to find and compare products and prices across shops. The search team focuses on finding new ways and technologies to serve our customers with the most relevant results. You can be part of our team that’s continuously exploring and improving solutions for customer query understanding and product result ranking for the best match.
You can expect purpose - providing people with a fair and unbiased service unlike any other B2C e-commerce company. Day to day, you would find freedom to work it your way - shaping the search with interesting challenges tackled together, in our team of seven amazing colleagues. The challenge awaits you - to serve >40 million customers with >2 billion offers in
The position is available in full or part-time.
About your new role
• Work as an interface between Product Management, Engineers and Analysts in a cross-functional team to improve idealo’s customer experience through data-driven decision making.
• Analyze large and complex datasets to uncover patterns, trends, and opportunities, always with a strong focus on business impact and customer value.
• Define and refine problem statements together with Product and stakeholders, translating business needs into clear analytical questions and hypotheses.
• Design, run and analyze experiments (e.g. A/B tests) to evaluate product changes and guide decision-making based on causal inference.
• You drive solution design and impact assessments collaboratively with the team, ensuring that insights lead to actionable outcomes.
• Build dashboards, define KPIs, and monitor performance to make success measurable and transparent.
• You proactively identify opportunities where data can unlock value, as well as gaps where additional data or tracking is needed.