Machine Learning u0026 Data Scientist, OS Power u0026 Performance

Apple • San Diego, CA

75d

About The Position

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.

Requirements

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field.
• Strong statistical skills and intuition.
• Proficiency in distributed compute & 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

• Analyze high dimensional data to derive meaningful insights.
• Produce metrics, models, simulations, and tools for analysis.
• Communicate insights from large datasets.
• Apply statistical analysis to solve business and product-development problems.
• Write production level code.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees