Data Scientist – Product Marketing and Customer Analytics – 200555652 -Cupertino, California, United States

Apple

At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish! The Product Marketing Customer Analytics team is seeking a Sr. Data Scientist with deep technical and consultative experience in business analytics and analytic engineering.

Support Product Marketing, Investor Relations, and the Executive Team with analytics for customer product and services engagement.

Conduct regular and ad-hoc analyses, data mining and predictive analytics to provide leadership with actionable insights at tactical and strategic levels related to the active customer and device install base.

Consult and support Product Marketing business analysts with insights and recommendations for iPhone, iPad, Mac, iPod, Apple TV, Apple Watch, and the intersection of customer product and services engagement.

Work cross-functionally with iTunes, iCloud, Sales, Retail, Apple Online Store, AppleCare and Services teams on collaborative customer analytic projects

Conceive and design end-to-end optimized data modeling pipelines and customer analytic scripted solutions using Python and/or Spark.

Manage data science projects through all phases, including data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization.

5+ years of industry experience building data science driven solutions to solve business problems.3+ years of hands-on coding skills (Python, R, and/or Spark) processing large-scale data, deriving key insights, developing machine learning models on structured and unstructured data, and maintaining production machine learning pipelines that are part of a production-type analytic solutionBachelors degree required in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field

 

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