Salary: 5600–7200 SEK/MD on B2B Remote: Hybrid (3 days/week in Malmö office). Commuting possible for the first 3 months; relocation to Sweden required afterwards. Why choose this offer?
Opportunity to work on globally used web and developer platforms Direct impact on frontend architecture, APIs, and developer-facing solutions Collaboration with international , cross-functional engineering and product teams Work on large-scale mapping and location-based technologies used worldwide Project You will join a mature, large-scale production search project combining traditional lexical search technologies (Solr/Lucene) with semantic search and machine learning-based ranking. The project focuses on improving search relevance and ranking quality through rigorous statistical analysis, causal inference, and experimentation. You will work closely with search and ML engineering teams, designing experiments, analysing user behaviour, identifying biases, and evaluating the impact of ranking changes on production metrics.
The main objective is to ensure data-driven decisions are statistically sound and supported by reliable evidence.
you'll have Design and analyse experiments (A/B testing, interleaving, quasi-experiments) to evaluate search ranking and relevance changes. Apply causal inference methods to identify the real impact of ranking changes on user behaviour and search performance. Identify and address confounding factors, selection bias, and other statistical issues a