onsite
Data Scientist / Machine Learning Engineer - Roche
Data Scientist
Develop and deploy advanced machine learning models for pharmaceutical data, leveraging Python, deep‑learning frameworks and cloud services to drive data‑driven insights and innovation.
About the role
Key Responsibilities
- Design, implement, and validate machine learning and deep‑learning models on large‑scale pharmaceutical datasets.
- Collaborate with cross‑functional teams to translate business problems into data‑science solutions.
- Develop data pipelines and feature engineering workflows using Python and SQL.
- Deploy models to production environments on AWS, ensuring scalability and reliability.
- Monitor model performance, conduct root‑cause analysis, and iterate improvements.
Requirements
- Strong proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
- Solid understanding of statistical modeling, supervised/unsupervised learning, and deep‑learning techniques.
- Hands‑on experience building data pipelines and working with relational databases (SQL).
- Familiarity with cloud platforms, preferably AWS, for model deployment and orchestration.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningtensorflowpytorchsqlaws