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Data Scientist - Strategic Data Solutions

Apple· Corporate Functions
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Austin, TexasFull-timePosted 1mo ago

About the role

Apple’s Strategic Data Solutions (SDS) team applies data science and machine learning to drive strategic impact across multiple lines of business. The Data Scientist will work with cross-functional teams to understand business needs, document requirements, perform analytics, validate systems and workflows, develop metrics, and communicate insights to senior leadership. The role involves collaboration with ML engineers and software engineers, end-to-end testing, UAT participation, and leveraging internal/external data sources.

Responsibilities

  • Support discovery of business problems
  • Analyze and interpret new sources of data
  • Perform ad-hoc and recurring investigations and analyses
  • Work with machine learning engineers, software engineers, and engineering program managers to generate seamless business intelligence solutions for business partners
  • Present results of analyses to business units
  • Prepare documentation and analysis for integration testing, audits and exams
  • Excellent communication skills, both written and verbal. Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion.
  • Entity Relationship Diagram experience is a must.
  • 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.
  • 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 partnerships
  • Strong verbal / written communication skills
  • Creativity to go beyond current tools to deliver best solution to the problem
  • Inquisitiveness and a desire for continued self-improvement and development of new skills
  • Comfort working independently and making key decisions on projects
  • Ability to tell meaningful and accurate stories with data, analysis
  • Background in finance, auditing, financial crimes compliance, and/or payments preferred

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 requirements and project plans
  • 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.

Skills

Required:Entity Relationship DiagramSQLPythonAnalytics / Data AnalysisCommunication

Benefits

  • [Content not provided in the description]
Last updated Sep 11, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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