Summary
Posted: Mar 25, 2021
Weekly Hours: 40
Role Number:200233684
Apple's Online Retail Analytics team is looking for a hardworking Machine Learning Engineer who is passionate a...Summary
Summary
Posted: Mar 25, 2021
Weekly Hours: 40
Role Number:200233684
Apple's Online Retail Analytics team is looking for a hardworking Machine Learning Engineer who is passionate about crafting, implementing, and operating production machine learning solutions that have direct and measurable impact to Apple and its customers. You will design, build and deploy predictive modeling and statistical analysis techniques on production systems that drive increased sales, improved customer experience for our online customers.
Apple has a tremendous amount of data, and we have just scratched the surface in pattern detection, anomaly detection, predictive modeling, and optimization. There are many exciting problems to be discovered and solved and many business owners eager to use data mining. The Apple Analytic Insight team encourages scientists to stay ahead of data science research by attending conferences and working with academic faculty and students. We have a work environment that encourages collaboration, but also allows solution autonomy on projects.
Apple's dedication to the customer experience, the commitment to privacy, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of existing data science methods while delivering tangible business value.
Key Qualifications
Education & Experience
Ph.D. in Data Science, Machine Learning, Statistics, Operations Research or related field
Or a M.S. in related field with 5+ years experience applying data science techniques to real business problems.
Additional Requirements
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