Data Scientist - Strategic Security Risk

The Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apple's services (such as iCloud, iTunes, Siri, App Store, and Maps). As part of the ASE Security team, you will help manage the security needs of Apple's services around the world. You will build and integrate the security controls, guardrails, and frameworks that help protect our customers data in Apple's infrastructure.

Description

In this role, you will work with highly skilled security professionals passionate about identifying, assessing, and mitigating security risks. This role is central to the controls that protect Apple's customers, data, and brand. You'll have the opportunity to design security processes and technology with a truly global impact. You will work closely with engineering, threat intelligence, red team, and other security teams to identify and integrate data sources to make informed risk decisions and related security efforts. You will also play a meaningful role in collaborating with Apple's other security teams to define and implement best practices in data and signals integration and decisioning.

Responsibilities:

Build and evolve rich datasets to power a wide variety of use cases to assess security risk.

Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit security needs.

Research, prototype, and present ideas and designs to your team, management, and internal customers.

Design and implement models to evaluate and communicate security risks to risk owners and leadership.

Preferred Qualifications

Experience with Cloud Computing platforms like Amazon AWS, Google Cloud

Knowledge of Data Architecture principles

Familiar with AWS cloud resources (S3, EC2, RDS etc)

Experience with enterprise log collection and analysis platforms (e.g., Splunk, OSQuery).

Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto, etc.) and building scalable, reproducible analytical pipelines.

Minimum Qualifications

MS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering

Proficiency in SQL and at least one programming language (Python, R, etc.), with strong statistical and experimental design foundations.

Experience building distributed, high-volume data services

Experience with detection engineering at scale, including managing false positive rates and detection tuning methodologies

Proficiency with exploratory data analysis

Knowledge of secure design principles

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.