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Staff Data Scientist
Wolt Enterprises Deutschland GmbH · Berlin | Deutschland · Full Remote, Hybrid, Onsite
Gehalt auf Anfrage
Gefunden am 19.05.2026
Beschreibung
Job Zusammenfassung In dieser Rolle entwickelst du ML-Modelle, faltest Key-Metriken zur Analyse der Händlerauswahl und führst A/B-Tests durch, um strategische Entscheidungen für Märkte zu unterstützen. Job Zusammenfassung In dieser Rolle entwickelst du ML-Modelle, faltest Key-Metriken zur Analyse der Händlerauswahl und führst A/B-Tests durch, um strategische Entscheidungen für Märkte zu unterstützen. Deine Rolle im Team The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants. To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You'll achieve this by: Developing and deploying production-level ML models Crafting metrics to unlock deeper insights into merchant selection quality for all markets Conducting experiments to understand the impact of selection on specific markets Work on self-serve tooling to track these insights. This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards. Unsere Erwartungen an dich Qualifikationen Fluent in Python & SQL Strong exploratory data analysis skills, willingness to look under the hood Exposure to experimental design (A/B testing) and key statistical methods Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte) Determination to initiate and lead/own strategic projects to completion with a cross-functional team Innate curiosity to understand how things work and a first-principles approach to problem solving Erfahrung 3-5 years of experience in data science, consulting, or a related quantitative role Experience in feature engineering, model design, evaluation, diagnostics, and monitoring Unser Angebot The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working - a hybrid, at the office, or remote, within the location above. You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Themen mit denen du dich im Job beschäftigst Machine Learning AI Data Economy Metadaten Level: Senior Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote, Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Nahrungs-, Genussmittel Ort: Berlin | Deutschland