Manager - Data Science and AI Full Stack Engineer

As a Manager, AI and Data Science Full Stack Engineer at Pfizer, you will play a crucial role in architecting and implementing AI solutions at scale. Your responsibilities will include developing end-to-end data engineering, data science, and analytics products, as well as AI modules. You will work on creating responsive web interfaces, building dynamic web applications, and developing data visualizations for data exploration and insights generation. Key Responsibilities: - Develop end-to-end data engineering, data science, and analytics products and AI modules. - Create responsive web interfaces using HTML, CSS, and Bootstrap. - Build dynamic web applications using JavaScript frameworks like React, Vue, or AngularJS. - Implement data ETL pipelines using Python and SQL. - Collaborate with colleagues to integrate AI and data science models into production solutions. - Automate processes for continuous integration, delivery, and deployment to ensure smooth software delivery. - Stay updated with emerging technologies and trends in the field. - Communicate complex technical concepts to both technical and non-technical stakeholders. Qualifications Required: - Bachelor's or Master's degree in Computer Science or a related field. - 5+ years of experience in software engineering, data science, or related technical fields. - Proven experience as a Full Stack Engineer with a strong portfolio of successful projects. - Solid experience in programming languages like Python or R, and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs. - Knowledge of BI backend concepts like Star Schema and Snowflake. - Experience in building low code dashboard solutions with tools like Tableau, Power BI, Dash, and Streamlit. - Highly self-motivated with the ability to deliver independently and through collaboration. - Strong English communication skills (written and verbal). Pfizer, as an equal opportunity employer, complies with all applicable equal employment opportunity legislation across jurisdictions in which it operates. As a Manager, AI and Data Science Full Stack Engineer at Pfizer, you will play a crucial role in architecting and implementing AI solutions at scale. Your responsibilities will include developing end-to-end data engineering, data science, and analytics products, as well as AI modules. You will work on creating responsive web interfaces, building dynamic web applications, and developing data visualizations for data exploration and insights generation. Key Responsibilities: - Develop end-to-end data engineering, data science, and analytics products and AI modules. - Create responsive web interfaces using HTML, CSS, and Bootstrap. - Build dynamic web applications using JavaScript frameworks like React, Vue, or AngularJS. - Implement data ETL pipelines using Python and SQL. - Collaborate with colleagues to integrate AI and data science models into production solutions. - Automate processes for continuous integration, delivery, and deployment to ensure smooth software delivery. - Stay updated with emerging technologies and trends in the field. - Communicate complex technical concepts to both technical and non-technical stakeholders. Qualifications Required: - Bachelor's or Master's degree in Computer Science or a related field. - 5+ years of experience in software engineering, data science, or related technical fields. - Proven experience as a Full Stack Engineer with a strong portfolio of successful projects. - Solid experience in programming languages like Python or R, and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs. - Knowledge of BI backend concepts like Star Schema and Snowflake. - Experience in building low code dashboard solutions with tools like Tableau, Power BI, Dash, and Streamlit. - Highly self-motivated with the ability to deliver independently and through collaboration. - Strong English communication skills (written and verbal). Pfizer, as an equal opportunity employer, complies with all applicable equal employment opportunity legislation across jurisdictions in which it operates.