Data Scientist Strategic Security Risk

The Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apples 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 Apples services around the world. You will build and integrate the security controls guardrails and frameworks that help protect our customers data in Apples infrastructure.

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 Apples customers data and brand. Youll 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 Apples other security teams to define and implement best practices in data and signals integration and decisioning.

Build and evolve rich datasets to power a wide variety of use cases to assess security forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit security prototype and present ideas and designs to your team management and internal and implement models to evaluate and communicate security risks to risk owners and leadership.

MS or BS or equivalent experience in Computer Science Engineering Mathematics Statistics or a related field OR equivalent practical experience in Software or Data EngineeringnProficiency in SQL and at least one programming language (Python R etc.) with strong statistical and experimental design building distributed high-volume data servicesnExperience with detection engineering at scale including managing false positive rates and detection tuning methodologiesnProficiency with exploratory data analysisnKnowledge of secure design principles

Experience with Cloud Computing platforms like Amazon AWS Google CloudnKnowledge of Data Architecture principles nFamiliar with AWS cloud resources (S3 EC2 RDS etc)nExperience with enterprise log collection and analysis platforms (e.g. Splunk OSQuery).nHandson experience with largescale data ecosystems (Hive Spark Presto etc.) and building scalable reproducible analytical pipelines.