Senior Data Scientist

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, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 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.

About the role :

We are looking for a passionate and innovative Senior Data Scientist to join our Data Sciences Team. Fueled by one of the largest data sets of its kind in the region, this team at Delivery Hero is working on some of the most challenging and fascinating technology problems available right now in the restaurant industry. From personalizing the dining experience for restaurant diners by analyzing their past behaviors & interactions, to helping restaurants increase their footfall by targeting the right customer at the right time– we are using big data to help change the way millions of people will dine at the restaurants.This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of the restaurant industry. Join us and let’s redefine customer loyalty and retention together!

Key Responsibilities:

• Design and develop ML-driven personalization solutions for dining experiences, ordering journeys and customer targeting.
• Research, design and deploy scalable machine learning models using large-scale structured and unstructured data
• Partner with internal engineering and product teams to conceptualize, plan and execute the roadmap
• Communicate complex results in a clear, concise and actionable manner
• Mentor junior data scientists and contribute to setting best practices for the team
• Evaluate and prototype emerging AI technologies applicable to the restaurant industry.
  

Qualifications

Experience Required:

• Degree in Statistics,Mathematics, Engineering, Physics or any similar discipline
• 6-9 years of relevant working experience
• Proficient in RDBMS such as PostgreSQL or MySQL.
• Expertise in Python, especially data science and data wrangling libraries such as numpy, pandas etc
• Strong analytical, data interpretation and problem solving skills
• Good grasp of basic statistical concepts and ML algorithms
• Basic knowledge of AI/ML model deployment lifecycle
• Strong understanding of the practical applications of machine-learning approaches around supervised and unsupervised learning tasks.
• Familiarity with Big Data technologies such as Spark, MPP Databases
• Self-motivated, independent learner and willing to share knowledge with team members
• Detail-oriented and efficient time manager in a dynamic and fast-paced working environment
  

Good to have:

• Experience in personalization and customer propensity modelling
• Testing and deployment of APIs for large scale production systems
• Experience in building ML models at scale, using big data pipelines on platforms such as Spark
• Understanding of deep learning frameworks such as Tensorflow/PyTorch
• Experience with GCP/BigQuery
  

Additional Information

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. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.