Associate, Commercial Analytics AI Solutions and Engineering Full Stack Engineer

Pfizer; Culiacán; Híbrido; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading pharmaceutical company in Culiacán, Mexico is seeking an Associate, Commercial AI Analytics Solutions & Engineering Full Stack Engineer. In this hybrid role, you will contribute to building and deploying AI solutions, collaborate cross-functionally to enhance customer experiences, and integrate cutting-edge data science and AI technologies. If you have experience with Python, SQL, and data visualization tools, we encourage you to apply even if you meet some qualifications minimally.

Formación

• Experience with building and deploying data science and analytics products.
• Ability to develop back-end server-side logic.
• Skill in implementing data ETL pipelines.

Responsabilidades

• Contribute to the build and deployment of AI and analytics products.
• Maintain infrastructure for software development.
• Collaborate with teams to integrate AI solutions.

Conocimientos

Python

SQL

JavaScript

Data visualization

Continuous integration and delivery

Herramientas

Tableau

Power BI

Dash

Shiny

Streamlit

Descripción del empleo

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.

As an Associate, Commercial AI Analytics Solutions & Engineering Full Stack Engineer, you will join the Commercial Analytics AI Solutions and Engineering team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components.

What You Will Achieve

• 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.

This role covers a broad spectrum of skills and we encourage you to apply even if you meet partially.

Here Is What You Need (Minimum 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.
• 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.

Bonus Points If You Have (Preferred Requirements)

• Contributeto 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‑to‑date with emerging technologies and trends in your field.

Work Location Assignment: Hybrid

EEO (Equal Employment Opportunity) & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.