Role at a glance
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- At least 3-5 yrs experience working as a QBA, Data Scientist, or related role
- Education
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar)
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Role Summary
The Data Scientist on Apple’s Strategic Data Solutions team applies data science and machine learning to work on monetary loss mitigation, financial-crime regulatory compliance, business-process optimization, and customer journey improvements. The role works with business and engineering partners to investigate problems, develop and validate analytics and technical solutions, and communicate findings to business units and decision-makers.
What You'll Do
- Analyze and interpret new data sources and conduct ad hoc and recurring investigations and analyses.
- Work with machine learning engineers, software engineers, and engineering program managers to develop business intelligence solutions...
- Develop analytics and metrics and make recommendations to improve quality and efficiency.
- Prepare documentation and analysis for integration testing, audits, and exams; participate in testing and validation, including UAT.
- Present analysis results to business units and communicate relevant insights to senior leadership and key decision-makers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or MS in a technical field; at least 3-5 years of experience as a QBA, Data Scientist, or in a related role; experience in investigations, testing, metrics and reporting, predictive analysis, and applying analytical techniques to real business problems. Requires SQL, big data systems and tools, Python, Entity Relationship Diagram experience, and experience eliciting business requirements, documenting technical systems, validating specifications, and supporting implementation and QA testing.
Required
- Preferred finance, auditing, financial crimes compliance, and/or payments background.
- Strong interpersonal and communication skills; ability to build partnerships, tell accurate stories with data, work independently, and...
- Creativity, inquisitiveness, and interest in continued self-improvement and developing new skills.
Preferred
- Assisting with quality assurance testing, audits, and regulatory exams.
- Working with business groups during UAT to address questions and solve issues.
- Strong interpersonal skills and ability to connect and develop partnerships.
- Strong verbal and written communication skills.
- Creativity to go beyond current tools to deliver the best solution to a problem.
- Inquisitiveness and 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 and analysis.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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. They must possess solid business acumen, a strong technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).
Description
Support discovery of business problems
Analyze and interpret new sources of data
Perform ad-hoc and reoccurring 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.
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 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.
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 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
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.