Senior Data Science Engineer for AI Solutions

hace 4 días

Xico, México Pfizer A tiempo completo

About Pfizer

Pfizer is a leading pharmaceutical company that seeks a highly skilled Senior Data Science Engineer to join our team. We are committed to delivering innovative solutions that transform the lives of patients worldwide.

Job Description

We are seeking an experienced Senior Data Science Engineer to contribute to the development and deployment of AI solutions at scale. As a key member of our Data Science Industrialization team, you will work closely with cross-functional teams to design, build, and maintain large-scale data pipelines, machine learning models, and analytics systems.

Responsibilities:

  • Develop and implement AI solutions using Python, R, or other relevant programming languages.
  • Design and maintain large-scale data pipelines using Python, SQL, and other relevant technologies.
  • Collaborate with data scientists, engineers, and colleagues to integrate AI and data science models into production solutions.
  • Contribute to the implementation of data ETL pipelines using Python and SQL.
  • Maintain infrastructure and tools for software development and deployment 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.
  • Stay up-to-date with emerging technologies and trends in your field.

Requirements:

  • 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).

Preferred Qualifications:

  • 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 concepts like Star Schema and Snowflake.
  • Familiarity in building low-code dashboard solution tools like Tableau, Power BI, Dash, and Streamlit.
  • 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.

We offer a competitive salary range of $120,000 - $180,000 per year, based on location and experience.

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