Data Scientist - Search Retrieval (f/m/d) — Galaxus
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- Hier
Vue d’ensemble du poste
Retrieval is the foundation of every search result.
As a Data Scientist on our Search team, you'll own the algorithms (keyword, vector, and beyond) that surface the right products for every customer query.
Your work has a direct, measurable impact on how customers discover products and experience our shop.
- Retrieval is the foundation of every search result.
- As a Data Scientist on our Search team, you'll own the algorithms (keyword, vector, and beyond) that surface the right products for every customer query.
- Design, build, and improve retrieval passes for our product search, including keyword-based (e.g., BM25) and vector-based (embedding) search
- Develop hybrid retrieval strategies that blend lexical and semantic signals, including candidate merging and score normalization
- mindestens 3 Jahre relevante Berufserfahrung: Search / Information Retrieval / Machine Learning
- Completed degree (university / university of applied science / higher technical college): Data Science / Computer Science / Machine Learning
Responsabilités principales
- Design, build, and improve retrieval passes for our product search, including keyword-based (e.g., BM25) and vector-based (embedding) search
- Develop hybrid retrieval strategies that blend lexical and semantic signals, including candidate merging and score normalization
- Continuously improve retrieval systems by evaluating performance and leveraging interaction data from millions of users
- Analyze search logs and user behavior to identify recall gaps, underperforming query segments, and long-tail query issues
- Bring models from prototype to production together with engineers, ensuring low latency and high availability at e-commerce scale
Exigences principales
- mindestens 3 Jahre relevante Berufserfahrung: Search / Information Retrieval / Machine Learning
- Completed degree (university / university of applied science / higher technical college): Data Science / Computer Science / Machine Learning
- University degree in data science or a related field (MSc or PhD), as well as at least 3 years of relevant professional experience, ideally with practical experience in search or information retrieval
- Excellent Python knowledge including experience with machine learning libraries such as PyTorch, TensorFlow and scikit-learn
- Experience designing experiments and interpreting metrics for large-scale online systems (A/B testing, offline evaluation)
- Experience in handling large amounts of data, including advanced SQL knowledge and experience with database systems (e.g. BigQuery) for analyzing user interactions
- Experience in the field of MLOps, especially in the deployment and operation of machine learning models in production, e.g. with orchestration tools like Airflow or Dagster
- Solid command of English, both written and spoken; German is a plus
- Pragmatic, product-oriented mindset and good communication skills for working across disciplines
- A willingness to challenge «how things have always been done and propose more efficient, automated or effective solutions
- Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.
- Courageous thinking: We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
Ce que l’entreprise offre
- Using creativity and initiative to solve problems and achieve goals English (Fluent) Cosa offriamo
Processus de candidature
- Application and contact details Carli Connelly People Attraction & Active Sourcing Specialist
Détails supplémentaires
- Experience in handling large amounts of data, including advanced SQL knowledge and experience with database systems (e.g. BigQuery) for analyzing user interactions
- Solid command of English, both written and spoken;
- Using creativity and initiative to solve problems and achieve goals
Notes et contenu original
- Experience in handling large amounts of data, including advanced SQL knowledge and experience with database systems (e.g.
- BigQuery) for analyzing user interactions
- German is a plus
- English (Fluent)
- Cosa offriamo
Questions sur cette offre
Quel salaire propose Galaxus pour ce poste ?
Galaxus indique CHF 73 500 - 111 500 bruts par an pour ce poste à Zürich. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose Galaxus ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec Galaxus pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zurich ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zurich peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zurich ou avec les RH pendant la candidature.
Comment postuler à ce poste chez Galaxus ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de Galaxus sur jobs.migros.ch, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
