Data Scientist - Strategic Data Solutions
AI summary of the role
Data Scientist on Apple's Strategic Data Solutions (SDS) team, applying data science and ML to mitigate monetary losses, ensure financial crimes regulatory compliance, and optimize business processes across Apple's lines of business.
What you’ll do
- Support discovery of business problems and analyze/interpret new data sources
- Perform ad-hoc and recurring investigations and analyses
- Work with ML engineers, software engineers, and EPMs to build business intelligence solutions
- Prepare documentation and analysis for integration testing, audits, and exams
What you’ll bring
- BS/MS in technical field (math, statistics, engineering, CS, analytics, or similar)
- At least 3-5 years experience as QBA, Data Scientist, or related role
- Competent with SQL and big data systems/tools; programming in Python
- Experience in investigations, testing, building metrics/reporting, and predictive analysis
Technologies
Python · SQL · big data · Entity Relationship Diagram · machine learning · UAT · QA testing
About Apple
Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.
Public
Source and classification
Deployment strategy · Evidence for this classification:
Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize various business processes, and improve the customer journey across our programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding Data Scientist who is interested in working closely with cross-functional and cross-organizational teams to understand client processes and analyze business needs, document and understand business requirements, conduct analytic investigations, perform system and workflow testing and validation, track and develop analytics, and develop/implement technical solutions. This includes ability to use Python, create new metrics and analytics, and making recommendations to improve quality and efficiency. They will sit
More from the job description
Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, ensure financial crimes regulatory compliance, optimize various business processes, and improve the customer journey across our programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding Data Scientist who is interested in working closely with cross-functional and cross-organizational teams to understand client processes and analyze business needs, document and understand business requirements, conduct analytic investigations, perform system and workflow testing and validation, track and develop analytics, and develop/implement technical solutions. This includes ability to use Python, create new metrics and analytics, and making recommendations to improve quality and efficiency. They will sit side-by-side with our machine learning engineers and software engineers, analyze complex business problems, complete our annual end to end testing, participate in cross functional UAT testing, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in changing environments with competing priorities. The [... source excerpt omitted ...] written and verbal. Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion. Entity Relationship Diagram experience is a must. Minimum Qualifications BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) At least 3-5 yrs experience working as a QBA, Data Scientist, or related role Experience in investigations, testing, building metrics and reporting, and predictive analysis Competent with SQL and big data systems and tools Programming skills in Python Experience applying analytical techniques to provide solutions to real business problems Experience eliciting and building comprehensive business [... source excerpt omitted ...] ans Documenting features and developing functions for technical systems. Validating Functional Specifications against Business Requirements Assist in all stages of implementation (requirements test scripts, UAT, production release). Representing the Business Requirements in Design Reviews, Code Reviews and QA Reviews. Creating Quality Assurance Test scripts to validate Business Requirements and occasional Engineering Requirements. Preferred Qualifications Assisting with the Quality Assurance Testing, audits, and regulatory exams Work with business groups during UAT to address questions and solve issues Strong interpersonal skills with ability to connect and develop strong partnersh
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