Bristol Myers Squibb - Data Scientist II - GPS Analytics

Summary :

The Data Scientist II 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 II 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 analytics 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 efficient data collection, processing, and analysis.
• Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization.
• Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation.
• Provide training, guidance, and mentorship to junior analysts and team members when required.
• Work hours that provide sufficient overlap with standard east coast US working hours.

Skills and competencies :

Experience :

(ref : hirist.tech)