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Job Location | Cambridge |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time |
Are you interested in the semiconductor industry and Arms growth trajectory within it How about applying Data Science to modeling macroeconomic phenomenon If you are passionate about machine learning, statistics, programming, are creative, innovative,and champion diversity, then this role is for you!Arm is using Machine Learning and Data Science techniques to equip leadership with the tools they need to make lucrative strategic decisions derived from data. Our aim is to develop models that provide future insight whilst applying MLOps practices. As adata scientist within Insights, you will be responsible for ensuring that our machine learning pipelines are correctly integrated within AWS and will train, test and validate results using appropriate methodologies. This means that you will ensure our pipelineshave a stable implementation for on-prem and cloud infrastructures, and you will assess and improve their performance alongside Software Engineers, Data Scientists and Analysts. You will have opportunity to utilize AWS services such as AWS Sagemaker, Redshift,RDS, ECR, Lambda and Cloudwatch in practice. You will explore new opportunities to develop new data science solutions that illustrate potential for a meaningful impact for Arm. Your primary focus will be improving revenue forecasting techniques and modelingmacroeconomic behaviours, working with a plethora of individuals from a variety of disciplines and seniority. You will present results to senior leaders within Arm and will be required to explain complexity, simply. Responsibilities: