Data Science Specialist for Global Supply Chain

hace 1 día


San José, San José, Costa Rica Pfizer A tiempo completo
Transform Pfizer's Go-to-Market Model with Advanced Analytics

Are you a skilled data scientist looking to make a meaningful impact on patient health around the world? Do you thrive in a fast-paced environment that combines scientific, clinical, and commercial domains through data and analytics?

We're seeking a talented individual to join our Analytics, Data, and Learning organization at Pfizer Digital. As a Sr Associate Data Science role, you'll have the opportunity to leverage cutting-edge technology, including AI and ML, to inform critical business decisions and improve customer experiences for patients and physicians.

Key Responsibilities:

  • Provide thought leadership to design and develop AI/ML approaches to solve business problems and transform Pfizer's go-to-market model for the Pfizer Global Supply enterprise.
  • Lead the execution of data science projects and provide input in the development of AI/ML capabilities.
  • Execute advanced analytics and predictive modeling projects using rigorous statistical methods and machine learning techniques.
  • Design, develop, deploy, and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution.
  • Implement Agile-based project management standards, including daily check-in procedures, workload status, and cost overruns/projections.
  • Participate in discussions to envision and develop data science and advanced analytics capabilities for the commercial enterprise.

Requirements:

  • 3 years of work experience as a data scientist, preferably with a diverse range of projects.
  • Expert proficiency in Python, R, and analytics platforms.
  • Applied knowledge of statistical analysis, experience with R, Excel, etc.
  • Strong background in computer science, including algorithms, data structures, machine learning, deep learning, and distributed systems.
  • Superior analytical skills required, strong verbal and written communication skills.
  • Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa.

Preferred Qualifications:

  • Knowledge of business processes in one or more of supply chain, logistics, cold chain, quality, regulatory, or safety domains would be a strong plus.
  • Industry or consulting experience, along with project management skills, is strongly preferred.
  • Experience in one or more of the following areas is preferred: machine learning, statistics, graph analytics, optimization, healthcare, life sciences.
  • Knowledge of Dataiku, Neo4j, Gurobi optimization, ontologies, knowledge graph, IoT would be a strong plus.
  • Experience working in Agile processes and practices.

Estimated Salary Range:$120,000 - $180,000 per annum, depending on experience and qualifications.



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