Senior Data Scientist - Quick Commerce (f/m/d) at Delivery Hero SE (Berlin, Germany)

Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery!

We are looking for Senior Data Scientists(f/m/d) to join our "Quick Commerce" team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on Delivery Hero's catalog management, campaign management, ad-serving/ad-booking systems. If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure and data, an international workplace is waiting for you in the heart of Berlin!

Your mission:

  • Analysis of large amounts of data from different services of our system and their associated business functions

  • Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models

  • Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them

  • Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations

  • Utilizing code (Python) for analyzing data and building statistical and machine learning models and algorithms

Your heroic skills:

  • Master’s or PhD degree in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics or 4 years of experience in the field

  • Fluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)

  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication

  • 2+ years of experience with data querying languages (e.g. SQL, NoSQL, Hadoop/Hive)

  • Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data from different product groups and business functions

  • Experience working with Machine Learning/Deep Learning for real world problems

  • Fluent english communication skills

Nice to have

  • Experience with NLP models especially self-learning transformers models

  • Experience with Image classification models.

  • Experience with time series modeling and machine learning forecasting.

  • Experience with price modeling.

  • Experience on working with NoSQL databases

  • Experience with some of these tools/ technologies: Spark, BigQuery, dataProc

  • Experience with building APIs

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