Job Details

Data Scientist

Austin, Texas, United States

Software and Services

Summary

Posted: Aug 26, 2025

Role Number: 200616961-0157

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Austin, Texas. Conduct end-to-end analyses across all AppleCare touch points, including data gathering from large and complex datasets, and analyses using advanced statistical and machine learning (ML) methods. Collaborate with internal partners and cross-functional teams to define and refine business and research questions and use analytics, data mining, statistical techniques, and ML to address questions. Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions. Identify content, navigation and user experience elements that impact customer satisfaction via deep analysis, A/B testing and multivariate testing approaches. Present findings from analytics and research and make recommendations to leadership and cross-functional business partners. Develop extensive knowledge of existing metrics. Create new metrics for performance measurement and advocate for changes to existing metrics where needed. Lead data science and analytics projects through their entire lifecycle, including problem identification, scope management, analytics design, data gathering, data processing, analysis, algorithm design, deployment, measurement, and report generation. Partner with peers to build and prototype analytics pipelines that provide insights at scale. Evangelize adoption of best practices and build greater awareness of common data analysis pitfalls. 40 hours/week.

Minimum Qualifications

• Master's Degree or foreign equivalent in Operation Research, Industrial Engineering, Analytics, Data Science, Computer Science, Engineering (any), or related field and 2 years of experience in the job offered or related occupation.

• 2 years of experience with the following skills:

• Using statistical techniques to generate insights and patterns from raw unstructured data

• Using Machine Learning techniques to identify anomalous trends, creating best suited solutions via recommendations for customers

• Leading end-to-end analytics projects to identify problems, design analytics plan, problem identification, scope management, analytics design, gather and process data, analyze and produce reports

• Utilizing Python, R and SQL to process huge quantum of data in a short span of time.

• Utilizing data visualization tools to provide insights focusing on customer behavior

• Applying Data Science concepts to identify common themes and clusters in huge data sets and make it available for easy consumption and analysis

• Providing actionable insights to help business take decisions focusing on customer experience based on statistical analysis

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.