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05.08.2025
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Apple Data Scientist AppleCare Business Insights United States, California, Sunnyvale
You should:. Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled,...
7+ years of experience designing, building, and maintaining distributed data processing systems at scale. 5+ years of hands-on experience with batch and/or streaming data technologies such as Spark, Flink, Kafka,...
5+ years of experience managing Engineering Program Managers and leading highly efficient and impactful teams. 10+ years proven experience in software development program management for cloud infrastructure platforms and technologies....
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience. Up-to-date with the state of the art in machine learning and generative technologies as...
BS and a minimum of 3 years relevant industry experience. Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow). Experience...
1+ years of industry experience. Professional software development experience in Java and/or C++ with strong understanding of Object oriented concepts and design. Experience with at least one of scalable data...
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience. Up-to-date with the state of the art in machine learning and generative technologies as...
You should:. Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled,...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.