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(Senior) Data Scientist Analytics (m/f/d)

Min Experience

0 years

Location

Cologne

JobType

full-time

About the job

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About the role

As the Analytics division of the REWE Group, we are part of the Digital & Technology board department, which brings together all strategic, analytical, and business support functions within Retail Germany under one roof. The division aims to establish advanced analytics and artificial intelligence as capabilities and value drivers in all key business decisions at REWE. Agile working methods and a modern technological environment provide the perfect working environment to advance the development of analytical products and use cases. Be there when AA & AI are taken to a new level in the German food retail sector! Deliver value: As a (Senior) Data Scientist, you will independently drive exciting and challenging advanced analytics projects in the food retail industry to sustainably optimize decision-making processes and take a leading role in data science strategy and leveraging business potential. Manage the entire product lifecycle: You will be responsible for the end-to-end development and production of complex models and machine learning pipelines for use cases in the areas of forecasting, classification, recommendation, and scoring, and will be responsible for their continuous quality control. Always keeping the big picture in mind: You will be responsible for data management of structured and unstructured data in various database systems (e.g. GCP/BigQuery, Snowflake) and analysis frameworks (e.g. Hadoop/Spark). Bringing everyone to the table: Joint development of analytical products in agile and interdisciplinary teams as well as proactive and steering collaboration with the business department and internal stakeholders to transform data into business-relevant insights. Leading by example: Providing technical guidance and coaching to junior colleagues. Developing standards and ensuring best practices are applied in methodology and code.

About the company

The REWE Group as one of the largest retail and tourism groups in Europe offers unique conditions for all those who want to make a difference. Discover a down-to-earth employer who gives you trust, allows you freedom to design, and promotes innovation and fresh ideas through flexible structures.

Skills

python
sql
scikit-learn
pandas
matplotlib
jupyter
apache spark