Associate, Commercial Analytics AI Solutions and Engineering Full Stack Engineer

Pfizer, S.A. de C.V; Estado de México; Híbrido; MXN 430,000 - 603,000; Jornada completa

Descripción de la vacante

A global biopharmaceutical company is seeking an Associate in Commercial Analytics AI Solutions and Engineering. This role involves building and deploying data science and analytics products utilizing Python and JavaScript frameworks. Candidates should have experience with ETL pipelines, CI/CD processes, and data visualization. Join a team influencing patient health worldwide while enjoying a hybrid work model with competitive benefits.

Servicios

Competitive compensation

Comprehensive benefits

Formación

• Experience with server-side logic using Python.
• Familiarity with ETL processes using Python and SQL.
• Experience in building web applications using JavaScript frameworks.

Responsabilidades

• Contribute to building and deploying data science products.
• Automate CI/CD processes for efficient software delivery.
• Collaborate with cross-functional teams on AI integration.

Conocimientos

Python

SQL

JavaScript frameworks

CI/CD

Data Science

AI integration

Data visualization

Emerging technologies

Descripción del empleo

Associate, Commercial Analytics AI Solutions and Engineering Full Stack Engineer

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting‑edge smart technology that profoundly impacts the lives of our patients.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

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.

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

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.
• 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.
• Stay up‑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.

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