Data Science Industrialization, Ml Insights

ROLE SUMMARY

Do you want to make an impact on patient health around the world?
Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through engineering, data science, and analytics?
Then join Pfizer Digital's Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians.
Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer's transformation into a digitally driven organization leveraging data science and advanced analytics to change patient's lives.
The Industrialization team within Enterprise Data Science and Advanced Analytics leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer's digital transformation.
As a ML Insights Visualization Developer, you will be part of the Data Science Industrialization team charged with building and maintaining industrialized visualization templates to

enable consistent visualizations of descriptive analytics and model outputs for interactive presentations.
You will be a member of a global team that develops best practices and maintains standards for user friendly and informative visualizations to promote insight generation.
ROLE RESPONSIBILITIES
- Develop at scale "industrialized" data science visualization capabilities and analytic products
- Create visualization products and templates in the delivery of AI/ML analytic insights products
- Create generalizable visualizations for scalable use within Pfizer's Virtual Analytics Workbench

BASIC QUALIFICATIONS
- Bachelor's degree in analytics, data science, or visualization related area (Data Science, Computer Engineering, Computer Science, or a related discipline)
- 2+ years of work experience in data, analytics, or visualization for a diverse range of projects
- Passion for transformative data visualizations, insight generation, and interactive presentations
- Experience with Tableau and other visualization software (PowerBI, Spotfire)
- Hands-on skills in developing intuitive and interactive visualizations in Python or JS
- Self-directed learner eager to develop and continuously improve coding and visualization skills across BI tools, JS, and Python
- Highly self-motivated to deliver both independently and with strong team collaboration
- Ability to creatively take on new challenges and work outside comfort zone
- Strong English communication skills (written & verbal)

PREFERRED QUALIFICATIONS
- Advanced degree in Data Science, Computer Engineering, Computer Science, or related discipline
- Hands-on skills in Python libraries for visualization (Plotly, Bokeh)
- Hands-on skills in Javascript libraries/frameworks for visualization (D3, React, Angular)
- Hands on experience working in Agile teams, processes, and practices
- Experience visualizing large datasets in a cloud based analytics ecosystem (AWS, Snowflake, etc)

PHYSICAL/MENTAL REQUIREMENTS

None

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia)

ORGANIZATIONAL RELATIONSHIPS
- Other Enterprise Data Science and Advanced Analytics Teams
- Other AIDA teams (Data, Platforms, and Support)
- BAI teams
- Pfizerworks
- This description indicates the general nature and level of work expected.
It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent.
Incumbent may be asked to perform other duties as required._

Work Location Assignment: Flexible

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

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