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

Apple • San Diego, CA

1d

About The Position

Great performance is critical to Apple's product experience. We are seeking a Senior 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

• Education in Computer Science, Electrical Engineering, or a related quantitative field.
• Strong mathematical foundations.
• Strong software engineering background.
• Broad knowledge of data analysis and practical machine learning.
• Skilled at scalably transforming raw data into actionable insights through practical problem formulation.
• Ability to build ETL processes (e.g. Python & Spark).
• Ability to create data visualizations (e.g. Tableau).
• Ability to understand the broader business context.
• Ability to solve complex problems.
• Ability to communicate findings effectively to stakeholders.
• Comfortable with ambiguity.
• Eager to learn.
• Capable of working effectively in a collaborative environment.
• Strong interpersonal skills.
• Ability to build relationships with diverse stakeholders.

Nice To Haves

• 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 & 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 & communication of insights from large datasets.
• Apply statistical analysis to solve business & product-development problems.
• Write production level code.
• Provide meaningful insights to teams and influence decisions across Apple on a broad range of products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees