Provide business outcomes: Design solutions leveraging analytical approaches and best practices and build prototypes, code, and documents to deliver actionable insights and business outcomes to stakeholders and management.
Implement technology modernization: Implement modern technologies related to analytics, Machine Learning, and AI, to improve our company’s business process and efficiency.
Drive agile delivery: Leverage our ways of working, to deliver business outcomes with agility and significant productivity based on iteration and experimentation principles.
Foster global collaboration: Establish effective trust partnerships with cross-functional teams and international communities.
Lead decision-making: Make and execute decisions by using Data Science techniques and data architecture to solve critical business problems and achieve business goals.
Uphold behavior standards: Maintain behavior standards and a mindset built on collaboration, learning, and sharing principles.
Requirements & Skills:
Proactive, results-oriented, creative, and flexible thinker with a growth mindset
Enjoys working in diverse and inclusive global and matrix environments across functions and geographies
Ability and willingness to speak up and challenge the status quo. Upholds high standards of ethical and intellectual integrity
Ability to clearly understand business requirements and translate them into data-driven processes and services, while consulting stakeholders on optimal solutions and managing expectations
Strong interpersonal and communication skills, incl. presentation
Graduated School Students currently pursuing a degree(s) in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, Pharmacy
