AppleCare Data Scientist
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At Apple, we believe in delivering an unparalleled customer experience! The AppleCare Business Insights, Operations, and Systems (ACBIOS) team contributes to this mission by transforming complex data into actionable insights to drive enhancements to Apple products, services, and the end-to-end customer journey.
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We are seeking a Data Scientist to lead high-impact initiatives focused on understanding and optimizing the cross-channel customer journey. The ideal candidate will possess deep attention to detail, proficiency in a broad range of data modeling and visualization tools, and the ability to effectively communicate methodology and findings to business partners.
Description
In this role, you will apply advanced analytics and data science methods to identify strategic opportunities, deliver actionable recommendations, and rigorously measure the success of initiatives and programs. This will involve close collaboration with Support, Service, Finance, and IT teams. The role demands a blend of deep technical expertise and strong business acumen to uncover critical trends, discover patterns, and enable data-driven decision-making at scale. Furthermore, you will be responsible for designing, developing, documenting, and maintaining foundational customer journey data models for analysts and data scientists across the wider AppleCare organization to use in their customer journey analytics.","responsibilities":"Partner with technical and non-technical stakeholders to translate problem statements and requests into technical requirements
Perform deep-dive and what-if analyses to uncover trends, anomalies, and opportunities for improvement
Write and optimize sophisticated SQL queries in Snowflake with a focus on performance and scalability
Build advanced Tableau and Streamlit dashboards
Implement robust automation of pipelines and workflows complete with graceful issue handling and alerting
Apply standard methodologies in code quality, Git, CI/CD, and Jenkins workflows
Clearly document your work for both technical and non-technical audiences
Regularly present roadmaps, progress updates, and findings to stakeholders and leadership
Preferred Qualifications
Expert level Snowflake experience including with Snowpark
Experience with Streamlit dashboard development
Applied experience with software engineering workflows using Git and CI/CD tools
Experience developing custom Tableau extensions
Prior experience with building and deploying systems that utilize LLMs
Background in customer analytics, customer 360, or product service/support analytics
Minimum Qualifications
Bachelor's degree in a quantitative or technical field
5-8 years of applied experience in data science, business analytics, or BI roles
Expert level SQL skills with MPP database platforms
Tableau dashboard development experience
Python development experience with pandas, NumPy, and ML packages (Ex: scikit-learn)
Proficiency in statistical analysis including concepts such as confidence intervals, p-values, and statistical significance
Proven record of producing clean, maintainable, and well-documented SQL & Python code following best practices
Experience translating business questions and needs into technical requirements
Excellent communication skills with experience presenting to multi-functional teams and executive leadership
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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