애플(Apple)

Senior Data Engineer & Scientist — Apple Korea

5년 이상서울상시 채용

경력: 5년 이상
고용 형태: 정규직
마감: 상시 채용
지역: 서울서울특별시 강남구 영동대로 517 (삼성동, 아셈타워 3901호)
직군·직무: 개발데이터 사이언티스트, AI·머신러닝 엔지니어, 데이터 엔지니어
출처: 원티드

이 공고에서 요구하는 AI 역량

AI 활용 필수

AI 관련 항목

주요 업무2곳
자격 요건0곳
우대 사항1곳

공고에서 찾은 문장

주요 업무
Apply machine learning, segmentation, and statistical methods to generate actionable insights and growth recommendations
주요 업무
Leverage AI and LLM-based tooling to streamline analysis, automate tasks, and accelerate insight generation
우대 사항
Proficiency in machine learning methods applied to customer analytics, business optimization, or forecasting

요구 경력

5년 이상

회사 소개

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.

주요 업무

• 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

자격 요건

• 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

우대 사항

• 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

혜택 및 복지

자세한 사항은 홈페이지 참조

회사 정보

애플(Apple)홈페이지

서울특별시 강남구 영동대로 517 (삼성동, 아셈타워 3901호)지도 보기