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Bristol Myers Squibb

oncology · cell therapy

Data Scientist Iii, Gps Bi&t (Hyderabad)

HyderabadPosted 1 month ago
Data Science And StatisticsMid-levelFull Time; Regular
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Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Summary: The Data Scientist III will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist I should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world. Roles & Responsibilities - Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. - Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards. - Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner. - Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently. - Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for effective data .

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