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Commercial Analytics AI Solutions and Engineering Full Stack Engineer

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Pfizer

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Location:
Costa Rica; Mexico , Escazu

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Commercial Analytics AI Solutions and Engineering team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.

Job Responsibility:

  • Contribute to the end-to-end build and deployment of data science and analytics products and AI modules
  • Develop server-side logic using back-end technologies such as Python
  • Contribute to the implementation of data ETL pipelines using Python and SQL
  • Build web applications with JavaScript frameworks
  • Build data visualizations and data applications to enable data exploration and insights generation
  • Maintain infrastructure and tools for software development and deploying using IaC tools
  • Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
  • Implement logging and monitoring tools to gain insights into system behavior
  • Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
  • Build data visualizations and data applications to enable data exploration and insights generation (e.g, Tableau, Power BI, Dash, Shiny, Streamlit, etc.)
  • Stay up-to-date with emerging technologies and trends in your field

Requirements:

  • Contribute to the end-to-end build and deployment of data science and analytics products and AI modules
  • Develop server-side logic using back-end technologies such as Python
  • Contribute to the implementation of data ETL pipelines using Python and SQL
  • Build web applications with JavaScript frameworks
  • Build data visualizations and data applications to enable data exploration and insights generation
  • Maintain infrastructure and tools for software development and deploying using IaC tools
  • Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
  • Implement logging and monitoring tools to gain insights into system behavior
  • Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
  • Stay up-to-date with emerging technologies and trends in your field

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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