Data Scientist leading analytical projects and collaborating with business partners to solve specific business problems for Amgen operations. Utilizing advanced analytics to create significant business impact.
Responsibilities
Lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems
Lead advanced analytics projects from the front and will be responsible for end to end execution
Innovate and create significant business impact through the strategic use of advanced analytics techniques
Requirements
Experience leading the projects and in executions of the projects end to end
Experience with databases including relational, SQL, and Graph
Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment
Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
Excellent organization/planning skills and talent for managing many large and complex datasets
Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
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