Team Lead Data Science 80-100%

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TESTING CLOUD PYTHON SQL MACHINE LEARNING

Angol felsőfok 5-10 év tapasztalat Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Your tasks:

Lead and develop a team of data scientists, fostering a culture of curiosity, collaboration, and impact
Design and implement new data products to support content personalization, audience segmentation, and churn prediction
Oversee end-to-end model lifecycle - from ideation and experimentation to deployment and monitoring
Collaborate closely with Product, Editorial and Marketing teams to translate business objectives into data-driven solutions
Carrying out more complex analyses including preparation and presentation of the results
Promote best practices in data science, including code quality, experimentation, and reproducibility
Contribute to the broader data strategy, helping shape the evolution of NZZ's data and AI capabilities

Your profile:

Master's degree in a quantitative discipline (computer science, mathematics, statistics, physics, etc.)
5+ years of experience in data science, with at least 2 years in a leadership or mentoring role
Strong theoretical and practical know-how in statistics, machine learning and natural language processing
Excellent understanding of experimental design, A/B testing, and data-driven decision-making
Hands-on experience with Google Cloud Platform (GCP), including Vertex AI
Strong programming skills in Python and SQL
Strong communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders.
Must have: very good knowledge of English, nice to have: knowledge of German

We offer:

Challenging and diverse activities in an interdisciplinary task field with a high level of autonomy and the possibility to contribute to the digital transformation of one of the best-known media brands in the German speaking area.
Premium working environment: central location with offices «at Bellevue» in the heart of Zurich – with a view to the opera house and the lake - with a large selection of shopping opportunities and restaurants in walking distance.
Flexible working hours and home office is part of our culture.

Isabelle Liechti, HR Business Partner

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