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Job Location: Cupertino, CA
Summary
Posted: Aug 3, 2022
Role Number:200374030
At Apple, we believe new ideas have a way of becoming exceptional products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. If you are in search for a dynamic and challenging position to make decisions for products for a company at the leading edge of creativity, this position is for you! As a data scientist in our ERP (SAP) team, you will build solutions in multitude of domains such as Sales, Retail, Finance, Services and Operations. Being one of the largest systems of this kind in the world, it gives you unique opportunity to solve world class problems!
Key Qualifications
- Experience with variety of data science projects from inception to deployment
- Theoretical understanding and implementation experience of commonly used algorithms in classification, regression, clustering, and anomaly detection, neural network and optimization
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
Description
Work with domain experts to discuss data science opportunities, understand problems and propose solutions Document hypothesis, analyzing data, draft model building, interpreting results Lead a team of cross functional data scientists and data engineers. Prioritize, assign and review work Collaborate with data engineers & platform team to implement data pipelines and robust production real-time and batch decisioning solutions Lead ongoing R&D of new technologies, data sources and data science & optimization tools Know how to work with big data platforms such as Snowflake, SAP HANA Contribute in our roadmap and data science strategy
Education & Experience
BS or MS in Computer Science, related technical field and/or equivalent practical experience Familiarity with database modeling, data warehousing principles and SQL Strong programming skills in Scala, Java, Python, or similar language
Additional Requirements
- Familiarity with database modeling, data warehousing principles and SQL
- Strong programming skills in Scala, Java, Python, or similar language
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