Sr. Associate, Ai and Data Science Full Stack

hace 2 semanas

Ciudad de México CDMX Pfizer A tiempo completo

As a Sr. Associate, AI and Data Science Full Stack Engineer, you will join the Data Science Industrialization 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.

ROLE 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
- Contribute to the implementation of data ETL pipelines using Python and SQL
- 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
- Stay up-to-date with emerging technologies and trends in your field.

BASIC QUALIFICATIONS
- 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 concept 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

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.

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