at Delivery Hero
Full TimeAs the world’s leading 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 but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent 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.
We are looking for a Data Science Manager (all genders) to lead one of our teams in global discovery. At Global Discovery, we craft the central Search and Recommendation services that serve millions of customers daily in more than 70 countries around the globe.
Science is at the core of our services using Machine Learning and AI to create truly personalized recommendations, decode our customers’ queries and intent, learn to rank our search results and create semantic matching. All of that for a diverse set of languages like Spanish, Arabic, English, Mandarin or Korean. Since our algorithms run on a grand scale with thousands of requests per minute, deployment and operating Machine Learning algorithms and building robust data pipelines is core to creating impact with our research.
If this sounds exciting and you are a passionate People manager, you enjoy not only building and leading teams but also solving complex problems in creative manner, an international workplace is waiting for you in the heart of Berlin!
Utilize your expertise in science and leadership to guide a talented team in researching innovative and impactful machine learning and AI based solutions to help millions of customers in their journey. Help your team to stay up-to-date with the latest research on search and recommendations and how to apply it in practical ways.
Supervise and continuously improve the entire lifecycle of machine learning projects from ideation, data manipulation, model building, experimentation, to deploying it into production at scale in collaboration with other data scientists and engineers.
Cultivate a diverse, healthy and high-performance team by nurturing talent, providing direction, and building a culture of scientific excellence, continuous learning and innovation.
Guiding and coaching data scientists, data and backend engineers, mentoring them in technical and non-technical aspects of their work.
Partner with the product team to develop solutions for real customer problems that drive business impact and jointly manage stakeholders, dependencies and priorities.
Work in collaboration with other science leaders across the organization to define the long-term science strategy of the area. Build impactful relationships with our science and engineering partners in our local brand teams around the world.
You have a master or PhD in Computer Science, Statistics, Math or related fields coupled with 5+ years of experience of building machine learning solutions in industry contexts and 2+ years in leadership roles.
Proficiency of a wide variety of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Recommendation Systems) and their pros-cons with the ability to identify the best approach and methods suitable for a problem
Strong coding skills in Python and SQL. Experience working with the Scientific Python stack, Airflow, and cloud platforms like GCP
An adaptable leader who thrives in ambiguity, with a knack for breaking down complex problems into actionable steps.
Proven expertise in stakeholder management and fostering strong relationships. Excellent business understanding to drive informed engineering decisions
At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.
