Data Scientist, Strategic Security Risk

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $237k
$90k most similar roles pay here $325k

This role pays more than 91% of similar roles. Most pay $126,800–$197,342 — the shaded band above. At the midpoint, this role pays about $237k versus about $162k for comparable roles.

Based on 239 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 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

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At a glance

TL;DR · Data Scientist, Strategic Security Risk

As a Data Scientist in the Strategic Security Risk team at Apple Services Engineering Security, you will work alongside highly skilled security professionals to identify, assess, and mitigate global security risks. Your day-to-day responsibilities include designing and implementing models to evaluate and communicate security risks, building rich datasets for various use cases, and integrating cutting-edge technologies into existing systems. You will collaborate with engineering, threat intelligence, and red team members to develop best practices in data integration and decision-making. The role requires proficiency in SQL and Python or R, strong statistical foundations, experience with distributed high-volume data services, and knowledge of secure design principles. Familiarity with cloud computing platforms like AWS and Google Cloud, as well as large-scale data ecosystems such as Hive and Spark, is preferred. This position offers a unique opportunity to impact Apple’s global security infrastructure on a significant scale.

What you'll do

  • Build and enhance datasets to assess security risks across various use cases.
  • Develop innovative data solutions that integrate seamlessly with existing systems.
  • Present research findings and design ideas to team members, management, and stakeholders.
  • Design models to evaluate and communicate security risks effectively to risk owners and leadership.
  • Collaborate on defining best practices for integrating data and signals in decision-making processes.

What we're looking for

  • MS or BS in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • Proficiency in SQL and Python/R, with strong statistical foundations.
  • Experience building distributed, high-volume data services at scale.
  • Expertise in detection engineering, including managing false positive rates.
  • Knowledge of secure design principles and exploratory data analysis.

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