(Senior) Data Scientist - Search (m|w|d)
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. Be part of a 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. Day to day, you would find freedom to work it your way - shaping the search with interesting challenges tackled together, in our team of 9 amazing colleagues. The challenge awaits you - to serve >40 million customers with >2 billion offers in <100ms search response time.
Life-long learning is valued through prototyping, reading time and budget, visits to hackathons and events as well as knowledge sharing within and across teams.
About your new role
Work as an interface between Product Management, (ML-)Engineers and Analysts in a cross-functional team on idealo's search to provide our customers with the best possible search experience.
You analyze large volumes of search data to uncover patterns, trends, and opportunities – from customer segmentation to identifying and cleaning issues such as bot traffic. Based on your findings, you drive solution design and business impact assessments collaboratively with the team.
You elaborate requirements for data-driven solutions, identify dependencies, and lead their development in close collaboration with your teammates. Your work includes the evaluation and implementation of advanced technologies such as knowledge graphs, vector search or ranking algorithms.
You contribute to continuous improvement of off- and online evaluation metrics for search relevance and apply deep statistical methods as well as ML evaluation techniques, including LLM applicability.
You deliver robust, measurable solutions, if needed as services or APIs, including dashboards and KPIs to monitor impact and quality. Together with Analysts, you define hypotheses and use A/B testing to interpret causal effects.
You recognize the potential of existing data and proactively identify missing elements to improve the completeness and impact of your solutions.
