remoteonsite
Senior Data Scientist Engineer - GSK
Data Scientist
Lead advanced analytics initiatives as a Senior Data Scientist Engineer, designing and deploying machine‑learning models on cloud platforms to drive data‑driven decisions in a fast‑moving pharmaceutical environment.
About the role
Key Responsibilities
- Design, develop, and productionize machine‑learning and deep‑learning models to support drug discovery, clinical trial optimization, and commercial forecasting.
- Collaborate with cross‑functional teams—including R&D, commercial, and IT—to translate business problems into analytical solutions.
- Build scalable data pipelines and ETL processes using Python, SQL, and cloud services (AWS) to ensure high‑quality, reproducible data for modeling.
- Perform advanced statistical analysis and hypothesis testing to validate model performance and generate actionable insights.
- Develop interactive dashboards and visualizations to communicate findings to stakeholders at all levels.
Requirements
- Master’s or PhD in Computer Science, Statistics, Bioinformatics, or a related quantitative field.
- 5+ years of hands‑on experience building and deploying machine‑learning models in a production environment.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and strong SQL querying skills.
- Experience with AWS services such as S3, SageMaker, and Lambda for model training and deployment.
- Solid understanding of statistical modeling, experimental design, and data visualization tools (e.g., Tableau, Power BI, Plotly).
Skills
pythonmachine learningdeep learningsqlaws