Data Translator
PfizerAbout the role
ROLE SUMMARY
Pfizer’s Senior Associate Data Translator role is responsible for leading projects that apply artificial intelligence methods (statistics, machine learning, optimization, NLP and other analytics) to business data to improve processes, predict outcomes and create actionable insights that streamline global manufacturing, release and distribution operations across over 45 factories worldwide.
Our team, PGS Operations Insights, partners with Pfizer Global Supply (PGS) teams focused on:
COVID Vaccine C-suite executive visibility
Manufacturing throughput efficiency and increased manufacturing yield
Reduction of end-to-end cycle time and increase of percent release attainment
Increased quality control lab throughput and more timely closure of quality assurance investigations
Increased manufacturing yield (including of the COVID vaccine)
More cost-effective network planning decisions and lowered inventory costs
The Senior Associate Data Translator will help PGS achieve these efficiencies by delivering her descriptive, predictive and prescriptive insights via custom-built web applications tailored to the needs of manufacturing, quality and supply chain end users.
ROLE RESPONSIBILITIES
The position requires a keen interest in the people and in the processes driving global supply chains, manufacturing and quality control for global biopharmaceutical operations, with much focus on individual users and their needs. It’s no secret that our team’s success to date is largely due to our rigorous policy of hiring big-hearted people who enjoy collaboration. Your strength as an internal consultant will enable you to:
Build relationships between customers, business sponsors and developers, then translate these stakeholders’ needs into an analytic roadmap for your algorithmic insights
Unite stakeholders by translating technical information to non-technical sponsors and business information to developers
Your expertise as a data scientist and rapid acquisition of domain and data expertise will enable you to see analytic opportunities that may not be as obvious to your user base, given their day-to-day focus on getting today’s job done. You will use analytic skills to:
Identify relationships between manufacturing processes and disparate information systems
Quantify possible approaches to improving business metrics with analytical models
Identify opportunities for insights – simulate and test the most promising approaches
Integrate new data and relationships into the PGS Knowledge Graph schema
Using scripting languages (Python), statistical computing platforms (R) and/or web apps, demonstrate new solutions to stakeholders
Buildrobust data pipelines and models to integrate your analytical insights into user-facing apps
In collaboration with team members, doc
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