Senior. Associate, Commercial Analytics AI Solutions and Engineering Full Stack Engineer

Pfizer; Culiacán; Híbrido; MXN 608,000 - 957,000; Jornada completa

Descripción de la vacante

A global pharmaceutical leader is seeking a Senior Associate, AI and Data Science Full Stack Engineer in Culiacán, Mexico. This role is pivotal in the Commercial Analytics AI Solutions and Engineering team, focusing on building and deploying AI solutions. Candidates should have a strong background in Python, data science, and experience in software engineering. The position offers a hybrid work model and opportunities to collaborate on innovative projects that impact patient health.

Formación

• 2+ years of experience in software engineering, data science, or related technical fields.
• Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs.
• Strong English communication skills (written and verbal).

Responsabilidades

• Contribute to the end-to-end build and deployment of data science products and AI modules.
• Develop server-side logic using back-end technologies such as Python.
• Collaborate with data scientists and engineers to integrate AI models into production solutions.

Conocimientos

Python

JavaScript

Data manipulation and preprocessing

Agile methodologies

Communication skills

Educación

Bachelor's or Master’s in Computer Science or related field

Herramientas

Docker

AWS

Tableau

Descripción del empleo

Overview

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 a Senior Associate, AI and Data Science 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

In this role, you will:

• 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.

Here Is What You Need

• Bachelor\'s or Master\'s degree in Computer Science, or a related field (or equivalent experience).
• 2+ years of experience in software engineering, data science, or related technical fields.
• Experience in programming languages such as Python or R
• Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs.
• Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering.
• Highly self-motivated, capable of delivering both independently and through strong team collaboration.
• Ability to creatively tackle new challenges and step outside your comfort zone.
• Strong English communication skills (written and verbal)

Bonus Points If You Have

• Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
• Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker)
• Understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
• Knowledge about BI backend concept like Star Schema and Snowflake
• Familiarity in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit
• Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation
• Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake).
• Hands on experience working in Agile teams, processes, and practices

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.