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 Science Manager MENA 

POSITION PURPOSE

The position holder will play a pivotal role in supporting our data transformation journey, managing, validating and processing data, contributing to quick win projects, enhancements and monthly dashboard updates to drive strategic business decisions. You will collaborate with the analytics team to transform raw data into actionable insights that will shape our customer engagement campaigns and overall business strategies. 

ROLE AND RESPONSIBILITIES

• Ensures data governance, maintains data quality and ensures data availability.
• Ensures the best use of CDP (Commercial Data Platform), Aurora CDP and Autonomy Zone.
• Close collaboration with Business analytics and insights manager, and Data Analytics manager.
• Build automation processes to connect data sources and create automated reports capturing data from data sensors and generate insights.
• Sets up standard reports based on the CDP.
• Maintains data and manages it according to data properties as required by global governance and data catalogue.
• Document all business findings and ensuring compliance with regulations (e.g. sampling)
• Process analytical models and create or modify customer journeys while activating brand plan and measurable insights as well.
• Be responsible for key aspects along the data modelling cycle from definition of business questions and hypotheses to data sourcing and preparation, model development, and insight generation.
• Close collaboration with other colleagues (e.g. Marketing and Digital team) to advise and support the different teams in various types of advanced quantitative analyses.
• Support evaluation of global commercial experiments and pilots (digital, data mining, etc.), including KPIs.

KEY WORKING RELATIONS

• Local MDI, CEMs, Group country heads and Chapter Heads
• IT
• Global DSAA

WHO YOU ARE:

• MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, or Mathematics.
• Pharma Experience is a plus.
• Working in Data Science, analytical or primarily data focused environment.
• Experience in statistical modelling and machine learning techniques.
• Programming experience in at least two of the following languages: R, Python, SQL.
• Experience in applying data science methods to business problems.
• Experience in applying advanced analytical and statistical methods in the commercial world
• Advanced knowledge and work experiences on sales/ sales management/ marketing /market analysis/ target setting / position optimization and reporting system management.
• Strong communication and intercultural skills.
• Fluent in English.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

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