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Apple Sports Business Operations & Growth Apple United States, California 314363589
06.05.2025
You'll build data products and tools to support collaborative decision-making with our partner teams in engineering and product management. You're willing to learn fast, and adapt well to changing requirements and new technology stacks. Example projects include: building and managing high-quality data tables, pipelines and APIs from various sources including both big data at web scale as well as small curated data sets. Developing libraries to automate analysis tasks and enable data scientists to extract insight from data in scale. Identifying optimization opportunities (e.g. improving query speed, reducing memory or storage) in our data systems, and implementing those enhancements. Integrating various tools and services and provide uniform and easy access to data scientists and other partner teams.
- In-depth knowledge of Spark internals, able to optimize and fine-tune Spark jobs.
- Experience in developing data pipelines using Spark.
- Excellent Python programming skills, with 2+ years of relevant work experience.
- Experience in building user-friendly tools and libraries to improve efficiency and productivity of data science teams.
- Conduct hands-on data investigations and be passionate about our data and domain knowledge.
- Strong communication skills and be adaptive for changing requirements and tech stack.
- Education: Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain. Minimum 4 years industry experience working with big data technologies.
- Familiar with Scala and JVM as they are used in Spark applications.
- Experience in building basic web applications in Python or JavaScript.
- Familiar with the software ecosystem for big data analytics and business intelligence.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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