Data Science Engineer
hace 1 semana
Transforming Patient Health through Data Science
">We are seeking a skilled Data Science Engineer to join our Artificial Intelligence, Data, and Analytics organization (AIDA) at Pfizer. This is an exciting opportunity to leverage cutting-edge technology and inform critical business decisions that impact patient health around the world.
">About the Role:
">- ">
- Convert data/ML pipelines into scalable pipelines based on available infrastructure;">
- Enable production models across the ML lifecycle;">
- Implement model performance metrics and monitoring dashboards;">
- Implement retraining trigger mechanisms for models;">
- Implement champion/challenger model and A/B testing automation;">
- Implement CI/CD orchestration for data science pipelines;">
- Manage production deployments and post-deployment model lifecycle management activities;">
Requirements:
">- ">
- Bachelor's degree in a related field (Data Science, Computer Engineering, Computer Science, Information Systems);">
- 2+ years of experience in data science, analytics, or engineering;">
- Understanding of the data science development lifecycle (CRISP);">
- Hands-on skills in ML engineering and data science (e.g., Python, R, SQL);">
- Strong English communication skills (written & verbal);">
Preferred Qualifications:
">- ">
- Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems;">
- Experience with data science enabling technology (e.g., Dataiku Data Science Studio, AWS SageMaker);">
- Hands-on experience working in Agile teams and processes;">
- Understanding of MLOps principles and tech stack (e.g., MLFlow);">
- Experience in CI/CD integration (e.g., GitHub, GitHub Actions);">
- Experience working in a cloud-based analytics ecosystem (AWS, Snowflake);">
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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