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Job-Zusammenfassung
Als Machine Learning/Data Scientist im Marketing steigern Sie die Leistung. Sie arbeiten in einem dynamischen Team und profitieren von modernen Technologien.
Aufgaben
Aufbau starker Beziehungen zu Digital Marketing und Customer Experience.
Identifizierung und Lösung von herausfordernden Marketingproblemen mit AI.
Entwicklung von Modellen wie Customer Lifetime Value und churn prediction.
Fähigkeiten
Erfahrungen in Datenanalyse, Machine Learning und AI-Techniken sind erforderlich.
Starke Kommunikationsfähigkeiten und Geschäftssinn sind wichtig.
Kenntnisse in GenAI-Technologien und fortgeschrittenen ML-Techniken.
Ist das hilfreich?
In short
As a Machine Learning/Data Scientist specialized in marketing science, your mission is to elevate our marketing performance through building industry-leading machine learning & AI solutions. You will collaborate closely with marketing teams to design and execute data and machine learning pipelines that drive both efficient campaigns with marketing partners, and better real-time experiences in our web and app. This role demands strong business acumen and technical prowess to effectively translate broadly defined marketing problems into specific data, ML and AI solutions.
This role reports to the head of Machine learning and AI on the data science team, supporting our digital marketing teams.
Your Mission
Build strong relationships with key stakeholders like Digital Marketing or Customer Experience to design data flows and AI strategies.
Proactively identify, prioritize and solve challenging marketing problems leveraging your expertise in data and AI.
Drive research into the state of the art for marketing science
Lead the design and implementation of machine learning and AI pipelines to optimize marketing decision making in collaboration with marketing teams.
Develop and refine models such as Customer Lifetime Value, customer product recommendation, and churn prediction, incorporating advanced ML techniques and the latest GenAI technologies.
Be responsible for algorithm performance, including designing QA metrics and processes, and validating measurable impact through experimentation.
Effectively communicate on the impact and efficacy of the marketing ML and AI applications to all levels of the organization.
