Senior Data Scientist - Customer Data Platform (all genders)

at  Delivery Hero

Company Description
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero
Job Description
We are on the lookout for a (full-stack) Senior Data Scientist (all genders) to join one of our consumer product tribes that builds and scales the digital experience enjoyed by millions of consumers across 11 brands in 70+ countries. Our users can do a lot on our platform—order food delivery, buy groceries, find dine-in deals, discover new ad offerings from our partners, play games in our loyalty program (and more!)—and our goal is to make all this as delightful, personalised and seamless an experience as possible!
The Customer Insights squad (part of the Customer Data Platform domain) enables personalization by transforming consumer data into actionable insights and data-driven targeting, with the objective of increasing customer satisfaction, lifetime value and driving profitability globally, across all of Delivery Hero’s entities and markets.

This role is based in Berlin and the domain is structured as cross-functional squads that focus on different aspects of building a truly global Customer Data Platform.

• Build and operate end-to-end data science models that focus on improving the customer journey through more effective targeting and segmentation.
• Solve complex business problems by applying your knowledge and experience in advanced data science techniques.
• Analyse and interpret data to gain insights and inform decision-making.
• Collaborate with the CDP platform teams to build, deploy, monitor and operationalise production-grade data science models and services.
• Collaborate with product specialists, and user experience teams to understand business processes, identify data and solution requirements.

Qualifications
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Solid experience building statistical and machine learning models in a production-grade setting and at scale.

• Solid experience in Python and SQL.
• Experience with productionalizing data science models and validating their online performance using testing methodologies (such as A/B testing).
• Experience with cloud-based computing platforms, such as GCP or AWS as well as deep knowledge with MLOps best practices and tools.
• You are a critical thinker and creative problem solver who strives for excellence.
• You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment.
• You are able to leverage your technical and product acumen to extract and better define clear, actionable problem statements.
• You have previous experience leading complex data science projects and mentoring more junior data scientists in the process

• Build and operate end-to-end data science models that focus on improving the customer journey through more effective targeting and segmentation.
• Solve complex business problems by applying your knowledge and experience in advanced data science techniques.
• Analyse and interpret data to gain insights and inform decision-making.
• Collaborate with the CDP platform teams to build, deploy, monitor and operationalise production-grade data science models and services.
• Collaborate with product specialists, and user experience teams to understand business processes, identify data and solution requirements