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Data Scientist, Advanced Analytics & Commercial Effectiveness - AstraZeneca
Data Scientist
Data Scientist focused on advanced analytics and commercial effectiveness, leveraging publication‑grade statistical methods and AI‑native techniques to drive insights and decision‑making across the organization.
About the role
Key Responsibilities
- Develop and deploy robust statistical models and machine learning pipelines to analyze large, complex datasets.
- Translate business questions into analytical solutions, presenting findings to cross‑functional teams.
- Collaborate with data engineering and cloud teams to maintain scalable data infrastructure on AWS.
- Validate model performance and ensure reproducibility through rigorous testing and documentation.
- Mentor junior analysts and promote best practices in data science and analytics.
Requirements
- Advanced degree in Statistics, Data Science, or related field.
- Proficiency in Python, R, and SQL for data manipulation and modeling.
- Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch) and statistical software.
- Hands‑on knowledge of AWS services (S3, Redshift, SageMaker) for data storage and model deployment.
- Strong communication skills and ability to translate complex analyses into actionable insights.
Skills
pythonsqlmachine learningaws