3 дня назад
Senior Data Scientist – Search & Recommendations
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist – Search & Recommendations (Python/SQL, E-commerce Search): Analyzing large-scale e-commerce search data and building end-to-end metrics for search, ranking, recommendations, and personalization with an accent on experimentation, relevance analysis, and event-level data. Focus on evaluating ranking and recommendation models, interpreting search KPIs, and collaborating with Product, Data Science, MLOps, and ML/Search Engineering teams to improve product outcomes.
Location: Remote work from Romania
Company
is a technology services company headquartered in Cluj-Napoca with offices in Oradea, delivering software development and managed services for clients in retail, manufacturing, finance, and banking.
What you will do
- Analyze large-scale e-commerce search data to identify trends and improvement opportunities across search, ranking, recommendations, and personalization.
- Investigate query behavior, including zero results, reformulation, abandonment, position bias, click-through rate, and relevance versus business trade-offs.
- Define and interpret search KPIs and evaluate online experiments for ranking, personalization, recommendations, and hybrid or vector search.
- Build end-to-end metrics layers from event-level data and server-side search logs to datasets and visualizations.
- Lead analytical initiatives and collaborate with Product, Data Science, MLOps, and ML/Search Engineering teams.
Requirements
- Strong hands-on SQL and Python skills, particularly Pandas, with solid statistical knowledge and data visualization experience.
- Hands-on experience with e-commerce search funnels, query analysis, ranking analysis, and search relevance metrics.
- Experience defining and interpreting CTR, PDP view rate, add-to-cart, conversion, revenue, and zero-results metrics.
- Experience designing and statistically evaluating machine learning and search experiments across ranking, personalization, and recommendations.
- Experience working with event-level data and server-side search logs at large e-commerce scale.
- Ability to lead senior-level analytical initiatives, collaborate cross-functionally, and use AI tools responsibly to improve productivity and decision-making.
Nice to have
- Experience with GCP, distributed data systems, and analytical databases.
- Knowledge of NDCG, Recall@K, MRR, MAP, information retrieval, recommender systems, or ranking models.
Culture & Benefits
- Inclusive, merit-based workplace focused on diversity, respect, and innovation.
- Medical benefits, gym support, and personalized fitness options.
- Team events and a Healthy Habits Club.
- Flexible work-life arrangements and a hybrid community environment.
- Programs supporting physical, emotional, and social wellbeing.
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