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

Great performance is critical to Apples product experience. We are seeking a Machine Learning u0026 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 Apples software u0026 hardware performance excites you we encourage you to apply!

Were looking for a proactive u0026 impact-driven engineer with excellent machine learning analytical problem solving and communication this role you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics models simulations and tools for analysis u0026 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 u0026 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.

nAnalyze high dimensional data to derive meaningful metrics models simulations and tools for analysis u0026 communication of insights from large statistical analysis to solving business u0026 product-development production level meaningful insights to teams and influence decisions across Apple on a broad range of products.

Strong Quantitative Foundation: Education in Computer Science Electrical Engineering or a related quantitative field. Strong mathematical foundations software engineering and broad knowledge of data analysis and practical machine learning are Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python u0026 Spark) and data visualizations (e.g. Tableau)nBusiness Acumen and Problem-Solving: Ability to understand the broader business context solve complex problems and communicate findings effectively to and Collaboration: Comfortable with ambiguity eager to learn and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.

M.S. or Ph.D. in Computer Science Electrical Engineering Applied Mathematics Statistics or a similar quantitative field with strong statistical skills and intuitionnProficiency in distributed compute u0026 storage technologies such as HDFS S3 Iceberg Spark and TrinonProficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)nWorking knowledge of Operating SystemsnExperience driving cross-functional projects with diverse sets of stakeholdersnSkilled at connecting data insights to the companys overall strategy and objectives.