Staff Data Scientist - (AdTech, Deep Learning)

Job Description

We are on the lookout for Staff Data Scientists to join the AdTech data science (deep learning) team on our journey to always deliver amazing experiences.

As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility, and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact.

At Delivery Hero, AdTech introduces people to new food they love and enables our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock, our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2024/25, Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our data science team is at the heart of this growth, powering personalisation, relevance, and recommendation.

You will be a thought leader, driving innovation by designing and deploying our models to the forefront of technology to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.

If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Responsibilities

1. Spearhead a revolution of Ad Tech at Delivery Hero through the innovative application of cutting edge tools and techniques such as neural networks and reinforcement learning covering areas such as ad ranking, bidding strategies, and ad pacing driving unparalleled improvements in advertising campaigns.
2. Analyse large-scale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve ad relevance, click-through rates, and conversion metrics.
3. Lead research initiatives to explore emerging trends and technologies in AdTech and machine learning, contributing to the advancement of Delivery Hero's advertising products and algorithms. Remain at the forefront of industry and research developments incorporating new methodologies and best practices into our data science workflows and models.
4. Serve as a subject matter expert in data science and machine learning, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data science team.

Qualifications

1. Industry-leading talent at modelling business problems using machine learning techniques covering feature engineering, model selection and design as well as evaluation and optimisation to deliver enormous value to the business.
2. Effective mentorship and collaboration skills to raise the performance of team members, benefiting from deep understanding and experience in data science.
3. Extensive expertise in building and training complex neural network models with strong knowledge of Python data toolkit, including Keras, TensorFlow, and TFX.
4. Proficiency in SQL for data exploration and support of machine learning solutions.
5. Ability to write clean, production-level code and set up environments to optimize team efficiency.
6. Experience deploying neural networks for live traffic and collaborating with ML engineers in cloud systems, ideally GCP.

Nice to have

• Experience implementing neural networks to solve specific AdTech challenges.

Additional Information

We offer a hybrid working model, 27 days holiday, development support, health and wellness benefits, financial perks, and food-related benefits. Join us if you’re excited to grow, collaborate, and be part of the world’s leading delivery platform.

We are committed to diversity and inclusion, welcoming applicants from all backgrounds and providing accommodations for a smooth interview process.