Senior Machine Learning & Data Scientist, OS Power & Performance

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $214k
$135k most similar roles pay here $293k

This role pays less than 56% of similar roles. Most pay $178,562–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning & Data Scientist, OS Power & Performance

The Senior Machine Learning & Data Scientist, OS Power & Performance joins a team focused on the quantitative analysis of high dimensional data to improve software and hardware performance. In this role, you will analyze large datasets to produce metrics, models, simulations, and tools for communicating insights that influence product development decisions across various products. You will be responsible for transforming raw data into actionable insights by building ETL processes and creating data visualizations. The required skillset includes a strong foundation in statistical analysis, machine learning, and software engineering to write production-level code. Technical requirements include proficiency in Python, Spark, Tableau, HDFS, S3, Iceberg, Trino, Kubernetes, and Airflow. You will apply these tools to solve complex business problems while navigating the technical complexities of operating systems and distributed compute environments.

What you'll do

  • Analyze high-dimensional data to derive meaningful insights for product performance.
  • Develop metrics, models, simulations, and tools to communicate findings from large datasets.
  • Apply statistical analysis to solve complex business and product-development problems.
  • Write production-level code to support data analysis and software systems.
  • Build ETL processes using Python and Spark to transform raw data into actionable insights.
  • Create data visualizations to communicate findings effectively to stakeholders.
  • Influence cross-functional decision-making across a broad range of Apple products.

What we're looking for

  • Education in Computer Science, Electrical Engineering, or a related quantitative field.
  • Master's degree or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Statistics is preferred.
  • Strong mathematical foundations and broad knowledge of data analysis and practical machine learning.
  • Ability to write production-level code with a strong software engineering background.
  • Skill in transforming raw data into insights using Python, Spark, and Tableau.
  • Proficiency in distributed compute and storage technologies such as HDFS, S3, Iceberg, Spark, and Trino.
  • Proficiency in designing ETL flows and automation/scheduling using Kubernetes and Airflow.
  • Working knowledge of Operating Systems.

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