Data Scientist

Key responsibilities

• Lead advanced analytics and (Gen)AI initiatives, with a strong focus on the commercial side. Drive end-to-end projects, from ideation to deployment, to optimize user engagement, commercial growth, and market insights.
• Explore advanced analytics and (Gen)AI opportunities in multiple potential business areas, including but not limited to customer engagement, content generation, knowledge base, predictive analytics and decision making.
• Generate deep insights and analytical advisory services to line of business through collaborating with stakeholders, defining business requirements and standards, conducting data mining and analytics.
• Translate data into tangible business insights by collecting, analyzing and interpreting large data sets. Translate business insights into technical roadmaps and result-driven pilots. Then communicate outcomes to business teams and participate in product development.
• Develop and verify data models and algorithms to improve both internal and external customer experience and accelerate commercial growth.
• Develop and implement tools and processes to promote data-driven culture company-wide.

Qualifications

• At least 3~ 5 years working experience in data science, computer science, or related field.
• At least 2 years working experience in leading GenAI/ML projects, healthcare/pharma experience is highly preferred. Hands-on experience with HCP data, patient analytics, or clinical test is a plus.
• Proven ability to align analytics with commercial goals, e.g., sales growth, market share.
• Ability to reconcile technical and business perspectives, experience in experimentation frameworks and understanding how to measure end user impacting metrics
• Thrives in dynamic, fast-paced environments where passion for customer engagement and great experience are at the forefront of all design & development.
• Experience in MNC pharmaceutical company, especially with working with pharma commercial data is highly preferred.
• Master’s degree or above equivalent in computer science, mathematics or statistics, operations research, econometrics etc.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.