About the Role
The Data Scientist is responsible for unearthing meaningful information from various data sources to help Mundipharma enhance its solutions and improve customer experience. This role focuses on identifying patterns and actionable insights by processing, modeling, analyzing, and drawing conclusions from data to answer complex questions. Combining expertise in computer science, modeling, statistics, analytics, and mathematics with sound business acumen, the Data Scientist will uncover critical answers that enable objective decision-making across the organization.
Leveraging industry knowledge, contextual understanding, and a critical view of existing assumptions, the Data Scientist will drive the organization towards innovative and improved methods of utilizing data to optimize business processes.
Responsibilities
- Work collaboratively with business stakeholders to comprehend their goals and ascertain how data can be leveraged to achieve them. Design data modeling processes, develop algorithms and predictive models to extract necessary business data, and assist in data analysis and insight sharing.
- Provide decision-support to brand strategy and business development teams through descriptive and predictive analysis.
- Integrate and mine large datasets, connecting information from disparate sources to identify insights and patterns using both predictive and prescriptive analytics.
- Conduct proactive, in-depth analysis and modeling to discover hidden opportunities for enhancing brand strategy, digital health solutions, and overall customer experience.
- Effectively communicate actionable insights cross-functionally by translating complex analytics tasks into concise, visual, and easily consumable reports.
- Liaise closely with IT to lead the requirements design and steer the ongoing development of the data warehouse solution, enabling predictive and prescriptive data analytics. Specify and build proof of concepts and prototypes, and own the data models from a business perspective.
- Identify data quality issues and their root causes, then define solutions. Collaborate with the Data Steward and business systems owners.
- Proactively seek opportunities to improve the business beyond specific inquiries, and understand how to influence the organization to implement necessary changes.