Senior Associate, AI and Data Science Full Stack Engineer

As a Sr. Associate, AI and Data Science Full Stack Engineer at Pfizer Digitals Artificial Intelligence, Data, and Advanced Analytics organization (AIDA), you will be part of the Data Science Industrialization team, playing a crucial role in implementing AI solutions at scale for Pfizer's business. Your responsibilities will involve developing data science workflows, AI-based software solutions, and AI components to enhance customer experiences for colleagues, patients, and physicians. Role Overview: You will contribute to the end-to-end build and deployment of data science and analytics products and AI modules. Your tasks will include developing server-side logic using back-end technologies like Python, implementing data ETL pipelines using Python and SQL, building web applications with JavaScript frameworks, and creating data visualizations and applications to enable data exploration and insights generation. Additionally, you will maintain infrastructure and tools for software development, automate processes for continuous integration, delivery, and deployment, and collaborate with cross-functional teams to integrate AI and data science models into production solutions. Key Responsibilities: - 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 - Implement data ETL pipelines using Python and SQL - Build web applications with JavaScript frameworks - Create data visualizations and applications to enable data exploration and insights generation - Maintain infrastructure and tools for software development - Automate processes for continuous integration, delivery, and deployment - Implement logging and monitoring tools to gain insights into system behavior - Collaborate with data scientists, engineers, and colleagues from across Pfizer - Stay up-to-date with emerging technologies and trends in the field Qualifications Required: - Bachelor's or Master's degree in Computer Science, or a related field - 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 - Experience with data manipulation and preprocessing techniques - Highly self-motivated with strong team collaboration skills - Ability to creatively tackle new challenges - Strong English communication skills (written and verbal) If you are looking to make a global impact on patient health and thrive in a fast-paced environment where you can leverage cutting-edge technology for critical business decisions, then this role at Pfizer may be the perfect fit for you. As a Sr. Associate, AI and Data Science Full Stack Engineer at Pfizer Digitals Artificial Intelligence, Data, and Advanced Analytics organization (AIDA), you will be part of the Data Science Industrialization team, playing a crucial role in implementing AI solutions at scale for Pfizer's business. Your responsibilities will involve developing data science workflows, AI-based software solutions, and AI components to enhance customer experiences for colleagues, patients, and physicians. Role Overview: You will contribute to the end-to-end build and deployment of data science and analytics products and AI modules. Your tasks will include developing server-side logic using back-end technologies like Python, implementing data ETL pipelines using Python and SQL, building web applications with JavaScript frameworks, and creating data visualizations and applications to enable data exploration and insights generation. Additionally, you will maintain infrastructure and tools for software development, automate processes for continuous integration, delivery, and deployment, and collaborate with cross-functional teams to integrate AI and data science models into production solutions. Key Responsibilities: - 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 - Implement data ETL pipelines using Python and SQL - Build web applications with JavaScript frameworks - Create data visualizations and applications to enable data exploration and insights generation - Maintain infrastructure and tools for software development - Automate processes for continuous integration, delivery, and deployment - Implement logging and monitoring tools to gain insights into system behavior - Collaborate with data scientists, engineers, and colleagues from across Pfizer - Stay up-to-date with emerging technologies and trends in the field Qualifications Required: - Bachelor's or Master's degree in Computer Science, or a related field - 2+ years of experience in software engineering, data science, or related technical fields - Experience in programming languages such as Python or R - Familiar