Top Data & Analytics Jobs in Mumbai, MH
Looking for a Senior Manager in Data Science and AI to deliver data-derived insights and AI-powered analytics tools to drive strategic decision-making in the pharmaceutical industry. Responsibilities include leading AI/ML models, framing problems, and communicating data-driven insights effectively to stakeholders.
Seeking a Senior Analytics Developer to design, develop, and maintain analytics solutions to drive strategic decision-making and optimize commercial business performance. Responsibilities include data curation, analysis, visualization, and deployment of end-to-end analytics solutions. The role involves collaborating with various teams to provide actionable insights and improve data quality.
Experienced Analytics Developer role at Pfizer, responsible for developing and maintaining analytics solutions to drive strategic decision-making and optimize commercial business performance. Collaborate with various teams to build data products and visualization tools for international commercial business units. Must have a Bachelor's degree in a technical area and 5+ years of experience in analytics data engineering and data analysis.
The Sr. Manager, Analytics Extensibility Lead at Pfizer will be responsible for leading the development of an enterprise data science and analytics marketplace. This role involves overseeing the creation of extensions, plug-ins, and reusable templates for data scientists, collaborating with digital and business teams, and managing a team of engineers.
Manage clinical data for Pfizer, ensuring accuracy, timeliness, and consistency. Develop data management plans and reports, collaborate with partners, and document study learnings. Build relationships with SMEs and identify solutions for issues. Must have a Bachelor's degree and 7+ years of experience.
Looking for a Manager in Data Science and AI to deliver data-driven insights and AI-powered analytics tools to support Pfizer's Commercial organization. Responsible for executing AI/ML models, framing problems, and communicating data-driven insights effectively.
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