Machine Learning & Data Scientist, OS Power & Performance, CoreOS

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401(k) match

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About this role

Machine Learning & Data Scientist, OS Power & Performance, CoreOS San Diego, United States of America Great performance is critical to Apple's product experience. We are seeking a Machine Learning & Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software & hardware performance excites you, we encourage you to apply! We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. Analyze high dimensional data to derive meaningful insights. Produce metrics, models, simulations, and tools for analysis & communication of insights from large datasets. Apply statistical analysis to solving business & product-development problems. Write production level code. Provide meaningful insights to teams and influence decisions across Apple on a broad range of products. Minimum Qualifications: Strong Quantitative Foundation: Education

Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.