Data Science Engineer for Digital Transformation

hace 7 días


San José, San José, Costa Rica Pfizer A tiempo completo

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.
Requirements:
  • 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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