Data Scientist - Product Marketing and Customer Analytics

About the position

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.

Responsibilities

• 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.
• Consult and support Product Marketing business analysts with insights and recommendations for various Apple products.
• Work cross-functionally with various 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.

Requirements

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

Nice-to-haves

• Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake).
• Experience optimizing SQL queries on large datasets.
• 3+ years of experience working with Tableau or other data visualization technologies.
• Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendations to senior executives.
• Ability to work effectively on sometimes ambiguous data and constructs within a fast-changing environment.
• Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, regularization, dimensionality reduction and other advanced analytic techniques.
• Team player who enjoys collaborating with others.