数据科学家 Data Scientist - Beijing

• Under direct supervision, assists with the review and analysis of client requirements or problems and supports the development of cost-effective, analytics-driven solutions.
• Performs basic quantitative or qualitative analyses to support the identification of client issues and the development of client-specific solutions.
• Contributes to the development, testing, and validation of forecasting and predictive models, including time-series or regression-based approaches, using Python / PySpark in scalable analytics environments (e.g., CML).
• Assists Analysts and Consultants in developing detailed documentation, specifications, and analytical deliverables.
• Supports the design and structuring of presentations appropriate to the characteristics and needs of internal and client audiences.
• Proactively develops foundational knowledge of consulting methodologies and the pharmaceutical market; engagement-based responsibilities are assigned and closely managed by Consultants, Engagement Managers, or Principals.

• Bachelor’s Degree in Statistics, Mathematics, Data Science, Computer Science, or related quantitative field
• SQL for data querying, validation, and analysis.
• Python for data analysis and modeling; familiarity with PySpark or distributed data processing frameworks.
• Basic understanding of forecasting or predictive modeling techniques (e.g., regression, time-series analysis).
• Experience with data visualization or reporting tools (e.g., Power BI, Tableau) preferred.
• Knowledge of SAS is a plus but not required.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [click to reveal website link]https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.