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Senior Full Stack Engineer for Data Science Industrialization

hace 1 mes

Xico, México Pfizer A tiempo completo

About the Role

We are seeking a highly skilled Senior Full Stack Engineer to join our Data Science Industrialization team at Pfizer. As a key member of our team, you will play a critical role in architecting and implementing AI solutions at scale for our organization.

Main Responsibilities

  1. Develop end-to-end data engineering, data science, and analytics products and AI modules
  2. Design and implement server-side logic using back-end technologies such as Python
  3. Develop data ETL pipelines using Python and SQL
  4. Create responsive and visually appealing web interfaces using HTML, CSS, and Bootstrap
  5. Implement and maintain infrastructure and tools for software development and deployment using IaC tools
  6. Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
  7. Implement logging and monitoring tools to gain insights into system behavior
  8. Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
  9. Demonstrate a proactive approach to identifying and resolving potential system issues
  10. Contribute to the best practices of the team and help colleagues grow
  11. Communicate complex technical concepts and insights to both technical and non-technical stakeholders

Requirements

  1. Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience)
  2. 5+ years of experience in software engineering, data science, or related technical fields
  3. Proven experience as a Full Stack Engineer or similar role with a strong portfolio of successful projects
  4. Solid experience in programming languages such as Python or R and experience with relevant libraries and frameworks
  5. Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs
  6. Knowledge of BI backend concepts such as Star Schema and Snowflake
  7. Experience in building low-code dashboard solutions using tools like Tableau, Power BI, Dash, and Streamlit
  8. Strong English communication skills (written and verbal)

Preferred Qualifications

  1. Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or related discipline
  2. Experience in CI/CD integration and containers
  3. Experience in creating responsive user interfaces and familiar with technologies such as HTML, Tailwind CSS, Bootstrap, Material, and Vuetify
  4. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef
  5. Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack
  6. Knowledge of serverless computing and experience with serverless platforms like AWS Lambda
  7. Good knowledge of data manipulation and preprocessing techniques, including data cleaning, data wrangling, and feature engineering
  8. Good understanding of statistical modeling, machine learning algorithms, and data mining techniques
  9. Experience with data science-enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms
  10. Familiarity with cloud-based analytics ecosystems, such as AWS, Snowflake
  11. Hands-on experience working in Agile teams, processes, and practices

Work Location

This role will be based in a hybrid work environment

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 expression, national origin, or disability