Data Scientist, Analytics
Ort: Multi-Location (2 Locations) · Bereich: Data, AI & Analytics · Level: Mid-Level · Veröffentlicht: 1. August 2026 · Geprüft: 2. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Appier beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Appier und vergleiche das Ökosystem mit direkten Wettbewerbern.
Appier
appier.comKI-gestützte Software für digitale Werbung, Personalisierung und die Aktivierung von Kundendaten.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Appier freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
Develops machine learning models for ad targeting, optimization, and predictive analytics as part of the R&D team. Explores new AI applications to enhance platform capabilities and performance.
Diese Data-Scientist-Rolle konzentriert sich auf die Entwicklung und den Betrieb von ML-Modellen in der Produktion, die den Nutzerwert, das Engagement und das Belohnungsverhalten für eine Prämien-basierte Marketingplattform vorhersagen. Die Rolle umfasst die Konzeption und Durchführung von A/B-Tests mit kausaler Argumentation, den Aufbau von Dateninfrastruktur und die eigenverantwortliche Übernahme und Lösung neuer Produktprobleme. Vorausgesetzt werden starke Python- und SQL-Kenntnisse, ein Forschungshintergrund und Erfahrung mit KI-Tools.
This role focuses on developing and improving machine learning models for Kayzen's programmatic advertising platform. The Data Scientist will work on algorithm development, data exploration, and A/B testing, requiring proficiency in Python, Spark, and SQL. The role requires at least 3 years of experience in data science and a strong background in ad-tech.
This Senior Data Scientist leads modeling research for measurement capabilities across impact.com's partnership marketing ecosystem, focusing on attribution, identity resolution, and tracking quality. The role involves designing incrementality experiments, owning pipelines for end-to-end measurement, and serving as the technical counterpart for external identity and measurement partners. Requires 5+ years of experience with production-grade pipeline building, A/B testing, and fluency in Python/SQL, with nice-to-have experience in graph databases and privacy-preserving identity techniques.
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