Pfizer Logo

Pfizer

Senior Associate, AI and Data Science Full Stack Engineer

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Mid level
Hybrid
2 Locations
Mid level
As a Senior Associate in AI and Data Science Full Stack Engineering at Pfizer, you will implement AI solutions at scale, develop data science workflows, and create software solutions. Responsibilities include building data applications, maintaining infrastructure, and collaborating on AI and data science model integration.
The summary above was generated by AI

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital's Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer's transformation into a digitally driven organization, using data science and AI to change patients' lives. The Data Science Industrialization team is a key driver of Pfizer's digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.
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
  • Build web applications with JavaScript frameworks
  • Build data visualizations and data applications to enable data exploration and insights generation
  • 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
  • Build data visualizations and data applications to enable data exploration and insights generation (e.g. Tableau, Power BI, Dash, Shiny, Streamlit, etc.).
  • 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 developing dynamic and interactive web applications; familiar with React, AngularJS, Vue.
  • 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


Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia)
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
#LI-PFE

Top Skills

Angularjs
Ansible
AWS
CloudFormation
Dash
Dataiku Data Science Studio
Docker
Git
NoSQL
Power BI
Python
R
React
Restful Apis
SQL
Streamlit
Tableau
Terraform
Vue

Similar Jobs at Pfizer

2 Days Ago
Hybrid
2 Locations
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
As a Manager, AI and Analytics Data Engineer, you will design, develop, and implement data solutions to support data scientists and AI applications. Responsibilities include creating scalable data pipelines, conducting data analysis, and collaborating with teams to integrate AI models into production while guiding junior developers.
Top Skills: AirflowAWSC++DockerHadoopJavaKafkaKubernetesPythonRedshiftSnowflakeSparkSQL
2 Days Ago
Hybrid
2 Locations
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Manager, AI and Data Science Frontend Engineer will focus on designing and developing frontend web applications that leverage AI, ensuring user-centric design and architecture while mentoring junior developers. Responsibilities include UI/UX design, responsive web development, API integration, and enforcing coding standards to enhance application performance and reliability.
Top Skills: AngularjsBootstrapCSSHTMLReactVue
2 Days Ago
Hybrid
2 Locations
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Manager, Commercial Data Products at Pfizer leads the development and deployment of AI/ML products, collaborates with cross-functional teams, and manages product roadmaps to improve commercial strategies in healthcare. The role also involves advising stakeholders and ensuring the successful delivery of data solutions.
Top Skills: AlteryxDataikuPythonRSASSQL

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account