Embedded Commercial Data Scientist Ophthalmology&Hematology
Bayer
Basel, Switzerland
vor 2 Tg.

YOUR TASKS AND RESPONSIBILITIES

  • Design analytical models and processes to create or optimize customer journeys while activating a brand plan, measurable insights and provide recommendations into commercial strategies and tactics for our Ophthalmology and Hematology products in the key markets globally.
  • 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.
  • Output of these analyses will be the basis for strategic resource allocation by Business Unit and Marketing leadership.

  • Close collaboration with other functions (e.g. Commercial Business Insights, Integrated Multi-channel Marketing, Market Access, etc.
  • to advice, and support Business Unit (BU) leadership in various types of advanced quantitative analyses, including but not limited to : Multi-Touch Attribution, AI driven content personalization, Advanced Segmentation & Targeting, Conversion modelling, etc.

  • Demonstrating thought leadership and content expertise in customer analytics, data science and implementation of solutions to business partners and major markets, including development of key training programs.
  • Development and evaluation of global commercial experiments and pilots, including KPIs to determine success.
  • The incumbent also needs to work with onshore and offshore resources, as well as in house and external consultants.
  • WHO YOU ARE

  • A Graduate degree (Master’s preferred) in quantitative field (Statistics, Management Science, Operations Research, Engineering, Finance, Applied Mathematics, Mathematics, Business Administration etc.)
  • 5+ years of progressive advanced analytics work experience, of which 3+ years of 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
  • Comprehensive understanding of personalizing customer experience through programmatic media, CRM, search, e-commerce and mobile apps from data generation through to optimization a huge plus.
  • Experience in Machine Learning and AI model development and production roll-out.
  • 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; Willingness to "have an opinion" backed up by insight and analytics and the confidence to influence key stakeholders in meetings and one to one basis.
  • Strategic business acumen focus on results, passion for keeping up with media and technology trends. Strong communication and presentation skills.
  • Proven track record of professional success in analytics role
  • We are looking forward to receiving your application by 10th August . Thank you!

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