Data Scientist - Zurich, Schweiz - Bayer

Bayer

Geprüftes Unternehmen

Zurich, Schweiz

vor 2 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Data Scientist (f/m/d)

PURPOSE:

Support the Swiss Marketing and Customer Engagement Teams in their strategic and operational decisions leveraging data and advanced analytics.

YOUR TASKS AND RESPONSIBILITIES:

Codesign and development of a new local expert position for data science and advanced analytics.
Local Data Science expert and key contact for global Data Science team.
Close collaboration with local Analytics Translator to provide meaningful analytical models that generate competitive advantages
Drives Data mindset change across all functions in the organization and supports change management aspects related to the "Data Driven Company" paradigm.
Proactively manages data related topics within the Customer Engagement Framework across all strategic brands.
Supports the local data steward in running the local BI shop incl. reports and dashboard creation, enhancements and trainings.

WHO YOU ARE:

Bachelor/Master in in natural science, mathematics, computer science, engineering, or similar.
At least 3+ years of professional experience in a data modeling, algorithm development, or data science role (recent experience in pharmaceutical industry is an asset)
A deep understanding of data analytics and machine learning and their underlying algorithms.
A background in software development (python) and familiarity with Jupyter, Linux, AWS and agile software development (git, Azure DevOps)
Fluent in German and advanced English language skills.