Data Scientist - ML Engineering (m/w/d)
Data Scientist - ML Engineering (m/w/d)
Hotelplan Group is the leading Swiss tour operator in Europe. We are a diverse team with a passion for delivering enriching travel experiences by developing and deploying innovative machine learning solutions. The aim of this role is to understand, automate, deploy, manage, scale and enhance data science models working in close collaboration with data scientists.
What impact do you have?
- Design, prototype and develop machine learning systems, frameworks, pipelines and tools that support end-to-end predictive analytics projects and activities (training, inference & evaluation)
- Partner with data specialists to deliver initiatives and solve complex data problems efficiently
- Propose, validate and iterate on ideas that can significantly improve ML solutions, address system constraints, and optimise compute costs
- Develop performance metrics to track the performance of new ML solutions and models
- Drive continuous improvement activities incl. processes, documentation and training material
- Remain abreast of latest developments and research in the ML field
What do you offer?
- Education: Basic or further education completed
- Experience: Work experience: 3-5 years as a Data Scientist Machine Learning Engineering
- Experience deploying data science solutions in cloud environments e.g. GCP, Azure, etc.
- Strong knowledge of ML related technologies and libraries (Azure ML, Python, Pandas, Numpy, SciKit-Learn, Keras, PyTorch, TensorFlow, CNTK, SparkML, etc.)
- Understanding of continuous integration, testing, deployment & release methodologies
- Experience with Databricks, Keras, TensorFlow, PyTorch or similar tools for data automation, and model tracking, and training
- Proficiency in Python and other coding languages such as Scala, Java, R, and C++
- Strong proficiency in T-SQL/SQL/Spark SQL as well as version control software such as Git, BitBucket, CodeCommit or similar
- Ability to work independently and effectively across projects while managing conflicting priorities
- English (C1)
Only online applications can be accepted on the applications portal.
Contact
Ms. Jenny Leuzinger
Head of Recruiting
Write an email
+41432118730
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