Senior Data Scientist
vor 3 Wochen
We are seeking a highly skilled Senior 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.
Your mission will be to develop ML capabilities to identify and deduplicate customers across multiple accounts, using advanced algorithms to provide a unified customer identity view. You will also create cutting-edge behavioral ML models for customer-related use cases across Delivery Hero brands, such as predicting future purchases.
Additionally, you will optimize and measure the budget and effectiveness of marketing campaigns and investments, developing models to enhance marketing efficiency and ROI, aligning with business objectives. You will also use generative AI to create and enhance images and descriptions for food and grocery items, improving product listing quality and appeal.
As a Senior Data Scientist, you will 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. Skilled 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. 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. 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.
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