YOUR TASKS:
- Execution of explorative analyses of structured and unstructured data sets as well as feature engineering, programming data cleaning programs and development of data pipelines
- End-to-end development and operationalization of Machine Learning models in a team of highly motivated and experienced Data Scientists and Data Engineers
- Communicate with stakeholders and translate business requirements into technical requirements and present the results of your work
- You apply industry best practices to your daily work such as writing good tests and ensuring reproducibility
YOUR PROFILE:
- University degree in a relevant field, e.g. computer science, statistics, or physics
- Good knowledge of Python, machine learning and statistics
- Experience in the use of open source machine learning libraries such as scikit-learn, pytorch, pyspark, jupyter and pandas
- Nice to have: Experience with Spark, Hadoop or SQL as well as the application of modern software development methods
- Routine use of Git and the command line
- Interest in working both on the research and engineering aspects of data science
- Lifelong learner who stays up to date in the fast-moving field of data science
- Team skills, communication skills and hands-on mentality
- Good spoken and written German is a plus, fluent English is a must-have
WHAT WE OFFER:- A very competitive salary
- Working in a joint data science and data engineering team
- Realization of data solutions impacting 1100 stores in 46 countries
- Good work-life balance
- MacBook Pro and a 27” 4k screen
- German lessons and other benefits
- Level up your skills through conferences, courses and meetups
- 30 days of vacation
We are looking forward to your online application including your earliest possible date of entry and your salary expectations.
NEW YORKER Group-Services International GmbH & Co. KG
Contact: Gesa Frühling
P 0531 2135 - 5321
www.newyorker.de/jobs