Data Scientist will execute data science projects to solve difficult, non-routine analysis problems by applying advanced methods to create a combination of solutions, new hypotheses based on both new and existing real-world data related to quality. By applying advanced methods including artificial intelligence, machine learning, causal inference, advanced statistics, natural language processing and other related techniques, this incumbent will be a key go to person to ask questions, connect the dots and uncover opportunities that lie hidden within data with the ultimate goal of realizing the data's full potential.
- Is responsible for developing and implementing the data models within the defined analytics framework, enabling global and regional Medicine functions to make data driven decisions related to quality.
- Manages and coordinates medium size/complexity projects to evaluate the impact of QM initiatives in the Medicine organization.
- Contributes to continuous improvement of the QM analytics framework according to industry standards.
Accountabilities
- Contribute to the delivery of successful business and customer focused quality data analytics solutions:
- Understand quality-related business problems and develop and optimize use cases for the data analytics framework.
- Understand data, IT, and business constraints.
- Investigate additional data sources to be used in predictive data analytics modeling.
- Generate and interpret data analytics outputs for quarterly Business Intelligence Reporting.
- Utilize high quality, cutting edge analytic approaches to solve problems and transform towards smart decision making: Apply strong expertise in data science to continuously optimize the QM data analytics models and use cases for quality-related data driven decision making.
Lead Data Science activities of Data Management Operations:
- Develop and maintain data operational processes adhering to all compliance requirements.
- Develop and maintain the monitoring process for data science models in production.
- Develop and implement processes for oversight of data collection/curation and data review.