What are the responsibilities and job description for the RCC Platforms Performance Data Scientist position at Apple?
Summary
Posted:
Role Number:200588764
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
Join the Retail Customer Care Optimization team and lead the way in transforming the digital assisted-shopping experience for our global customers. We are looking for a candidate who deeply understands the needs and preferences of online shoppers, possesses a customer-centric attitude, and can translate complex information into clear, actionable insights.
Description
Ready to make a significant impact in the world of digital customer engagement? Join us and be a key player in operationalizing customer focused programs. You’ll collaborate with cross-functional teams to shape the RCC customer engagement strategy through quantifiable data. This dynamic role demands strong enterprise program management experience and a strategic approach to drive business growth and scalability. If you are passionate about data and thriving in a fast-paced environment, this is the opportunity for you!
Responsibilities:
- Identify emerging trends and themes in the business
- Build, deploy, and manage reporting ecosystems for realtime decision making
- Support the Retail Customer Care and Voice of the Customer teams with analysis and issue identification
- Summarize and simplify large data sets to support business strategies
Minimum Qualifications
- 7 years of programming experience for working with data, including manipulation and processing (experience with SQL and Python is a big plus).
- 7 years of quantitative data analysis, with the ability to evaluate complex issues in detail and uncover actionable insights.
- A Bachelor’s degree in Data Science, Statistics, Computer Science, Quantitative Finance—or at least 7 years of hands-on experience in a similar field.
Key Qualifications
Preferred Qualifications
- Hands-on experience working with Large Language Models (LLMs) to generate, refine, evaluate, and analyze text data for real-world applications.
- Talent for turning unclear or ambiguous business needs into clear, actionable analytics.
- Proficient in communicating findings and sharing insights with cross-functional teams across the business.
- A creative mindset for designing innovative features and signals, constantly pushing the limits of existing tools and methodologies.
- Proficiency in using data visualization tools like Tableau, Power BI, or similar platforms to analyze data, synthesize insights, and design impactful reports.
- Ability to break down complex AI concepts into simple, business-friendly terms, craft compelling narratives that highlight key insights, and deliver impactful presentations to key stakeholders.
- Familiarity with data engineering tools and practices, including building data pipelines, designing data models, and developing aggregation strategies to power responsive and interactive data products.
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
