Aktuelle Jobs im Zusammenhang mit Data Scientist - Berlin, Berlin - Delivery Hero

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Data Scientist

vor 2 Monaten


Berlin, Berlin, Deutschland Delivery Hero Vollzeit
Job Overview

We are seeking an experienced Data Scientist to lead the development of data science components in our Customer Data Platform. As a key member of the Consumer Insights & Marketing Technology (CIMT) Tribe at Delivery Hero, you will leverage data and advanced analytics to drive customer acquisition and retention in food and grocery deliveries.

Key Responsibilities:

  • Develop ML capabilities to identify and deduplicate customers across multiple accounts, using advanced algorithms to provide a unified customer identity view.
  • Create cutting-edge behavioral ML models for customer-related use cases across Delivery Hero brands, such as predicting future purchases.
  • Optimize and measure the budget and effectiveness of marketing campaigns and investments, developing models to enhance marketing efficiency and ROI.
  • Use generative AI to create and enhance images and descriptions for food and grocery items, improving product listing quality and appeal.
  • Own the Data Science function for the Customer domain, building a multi-tiered organization that produces high-quality output, fosters personal growth and learning, and offers clear career paths for all Data Scientists.

Requirements:

  • 7+ years in data science with a proven track record of building and deploying ML models at scale in production environments.
  • Full Lifecycle Expertise: Proficiency in all stages of the data science product lifecycle, from ideation and development to deployment, scaling, and maintenance.
  • Technical Proficiency: Experience in data engineering, including data ingestion, processing, and management, as well as proficiency in SQL, Python, BigQuery, Vertex AI, Kubernetes, Docker, Hadoop, Spark, and cloud platforms (AWS, GCP).
  • Production-Scale Solutions: Proven ability to build robust, scalable, and maintainable end-to-end solutions, with familiarity with MLOps practices and tools for continuous integration and deployment of ML models.
  • Collaborative Decision-Making: Strong skills in decision-making and the ability to align and discuss technical solutions with stakeholders and senior leadership, with experience managing cross-functional teams and collaborating with product, engineering, and business teams.
  • Mentorship: Ability to mentor and guide junior data scientists, fostering a culture of learning and growth within the team.

Nice to Have:

  • Marketing Science: Experience in optimizing and measuring marketing campaigns and investments, with familiarity with techniques for improving marketing efficiency and ROI.
  • Knowledge of generative AI techniques and their application in content creation and enhancement, particularly in the context of e-commerce or digital marketplaces.