Machine Learning u0026 Data Scientist, OS Power u0026 Performance
About The Position
Great performance is critical to Apple's 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 Apple's software u0026 hardware performance excites you, we encourage you to apply! We're looking for a proactive u0026 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 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.
Requirements
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition
- Proficiency in distributed compute u0026 storage technologies such as HDFS, S3, Iceberg, Spark, and Trino
- Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)
- Working knowledge of Operating Systems
- Experience driving cross-functional projects with diverse sets of stakeholders
- Skilled at connecting data insights to the company's overall strategy and objectives.
Responsibilities
- analyzing high dimensional data to derive meaningful insights
- producing metrics, models, simulations, and tools for analysis u0026 communication of insights from large datasets
- applying statistical analysis to solving business u0026 product-development problems
- writing production level code
- providing meaningful insights to teams and influence decisions across Apple on a broad range of products
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
