Data Scientist - Strategic Data Solutions

Location: Cork, County Cork

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Posted: May 7, 2021
Weekly Hours: 39
Role Number:200244060
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!Apple's Strategic Data Solutions (SDS) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its customers.As an SDS data scientist, you will employ predictive modeling and statistical analysis techniques to build end-to-end decision automation solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale and complexity of the business present exciting challenges to traditional machine learning and data science techniques.
Key Qualifications
  • Practical experience with and theoretical understanding of machine learning algorithms
  • Working knowledge of databases, preferably in large scale databases
  • Ability to implement data science pipelines or applications in a general programming language such as Python, Scala, or Java
  • Ability to comprehend and debug complex systems
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Good presentation skills with the ability to distill complex analysis and concepts into concise business-focused takeaways
  • Creativity and curiosity to explore new ideas in pursuit of tangible benefits to Apple
- Engage with business teams to find opportunities, understand requirements, translate those requirements into technical solutions, and communicate results- Design data science approaches, applying tried-and-true techniques or developing bespoke algorithms as needed by the business problem- Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions- Ensure operational and business metric health by monitoring production decision points
Education & Experience
  • Ph.D. in a quantitative discipline or lesser degree and equivalent experience in applying data science to real world business problems

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