Commercial Data Science Manager (m/f), Paris / Lille

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Tasks and Responsabilities

As the Commercial Data Science Manager, you are responsible of the following missions:

• Process analytical models and create or modify customer journeys while activating a brand plan and measurable insights as well as
• Provide recommendations into commercial strategies and tactics for key products in the market
• 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 functions (e.g. commercial business insights, integrated multi-channel marketing) to advice, and support Business Unit (BU) leadership team in various types of advanced quantitative analyses
• Demonstrate thought leadership and content expertise to business partners and major markets including development of key training programs
• Support evaluation of global commercial experiments and pilots (digital, data mining, etc.), including KPIs
• Work with onshore and offshore resources, as well as in-house and external consultant

Profile

• University degree (Master preferred) in quantitative field (e.g. statistics, management science, operations Research, engineering, finance, applied mathematics, mathematics, business administration)
• Several years of progressive advanced analytics work experience with recent experience in pharmaceutical industry or health care consulting
• Experience in multi-touch attribution, AI-driven content personalization, advanced segmentation & targeting, conversion modelling, recommendation engine for sales force and marketing systems, journey optimization, simulation, and/or decision analysis
• Good understanding of personalizing customer experience through programmatic media, CRM, e-commerce and mobile apps from data generation to optimization is a plus
• Experience in machine learning, AI model development and production roll-out as well as experience in R, Python and visualization tools like Tableau
• Experience in handling and analyzing various internal and external commercial data types (e.g. sales data sources like IQVIA, Cegedim, patient longitudinal, claims data, distribution, demand, units, promotion)
• Ability to influence cross-functional and upper management to impact decision-making combined with strategic business acumen and focus on results
• Excellent verbal and written communication/presentation skills in English and French