Data Science Engineer for Digital Transformation
hace 7 días
Pfizer's Artificial Intelligence, Data, and Analytics organization (AIDA) is at the forefront of the company's transformation into a digitally driven organization. Our collection of engineering, data science, and analytics professionals leverage cutting-edge technology to inform critical business decisions and improve customer experiences.
We are seeking a skilled Data Science Engineer to join our team in scaling data and insights capabilities - critical drivers and enablers of Pfizer's digital transformation.
Responsibilities:- Convert data/ML pipelines into scalable pipelines based on the infrastructure available.
- Enable production models across the ML lifecycle.
- Implement model performance metrics and model monitoring dashboards.
- Implement model retraining trigger mechanisms.
- Implement champion/challenger model and A/B testing automation.
- Implement CI/CD orchestration for data science pipelines.
- Manage the production deployments and post-deployment model lifecycle management activities: drift monitoring, model retraining, and model technical evaluation & business validation.
- Bachelor's degree in ML engineering related area.
- 2+ years of work experience in data science, analytics, or engineering for a diverse range of projects.
- Understanding of data science development lifecycle (CRISP).
- Hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software).
- Highly self-motivated to deliver both independently and with strong team collaboration.
- Ability to creatively take on new challenges and work outside comfort zone.
- Strong English communication skills (written & verbal).
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech.
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