Senior Data Scientist - Quick Commerce (f/m/d)
Delivery Hero
Berlin, Germany
vor 5 Tg.

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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