Senior Data Engineer & Scientist — Apple Korea

About the role

At Apple, extraordinary products begin with a deep understanding of the people who use them. Our Korea Channel Sales team leverages data to shape business strategy, optimize customer experiences, and drive growth across channels and partners. As a Senior Data Engineer & Scientist, you will build the data infrastructure that connects fragmented data sources across the business — and apply that foundation to generate insights, run experiments, and develop AI-driven solutions.

What you'll do

• Design, build, and maintain scalable data pipelines and automated reporting infrastructure to support business priorities across the Korea Channel Sales organization
• Identify critical data gaps and drive the acquisition and integration of new data sources from internal systems and external partners
• Establish data governance, compliance, and access control frameworks to ensure data quality and reliability
• Design and execute tests and experiments to measure business impact and optimize customer engagement strategies
• Apply machine learning, segmentation, and statistical methods to generate actionable insights and growth recommendations
• Build and operate data platforms that enable structured data collaboration with external partners
• Translate business requirements into analytical frameworks, reusable data products, and automated workflows
• Leverage AI and LLM-based tooling to streamline analysis, automate tasks, and accelerate insight generation
• Communicate complex analytical and technical findings clearly to both technical and non-technical stakeholders
• Partner with worldwide counterparts to align data capabilities and analytical standards globally

Requirements

• 5+ years of relevant work experience in data engineering, data science, or a combined role, with hands-on depth across both disciplines
• Proficiency in Python and SQL, with experience building and maintaining ETL/ELT pipelines, data models, and automated dashboards
• Experience with marketing data science methods including experimental and testing design, regression analysis, and causal inference
• Solid understanding of data governance, compliance, and access control principles
• Strong problem-structuring skills, with the ability to work through ambiguity and define clear analytical approaches
• Excellent communication and stakeholder management skills, with the ability to present to non-technical business audiences
• Fluent verbal and written communication skills in both Korean and English

Preferred qualifications

• Experience with cloud data platforms (e.g., Snowflake)
• Proficiency in machine learning methods applied to customer analytics, business optimization, or forecasting
• Experience building data-sharing platforms or partner data integration workflows
• Background in business analytics (e.g., attribution, funnel analysis, customer lifetime value, marketing mix modeling)
• Exposure to digital advertising, marketplaces, e-commerce, media, or consumer technology business related analysis
• Experience identifying repeatable business problems and converting them into scalable tools or automated workflows
• Master's or PhD in Computer Science, Statistics, Data Science, Economics, Operations Research, Engineering, or a related quantitative field with 5+ years of relevant experience

Benefits

자세한 사항은 홈페이지 참조