AppleCare Support Engineering Data Scientist


Job Overview

Key Qualifications

  • Proven experience in a Data Science role, in the areas of Data Mining, Machine Learning, Statistics and BI Visualizations.
  • Strong experience in customer support, preferably in the area of product feedback. Exposure in defining critical metrics for a customer support business.
  • High level proficiency with R, Python, Tableau and SQL.
  • Knowledge of statistical methods including Logistic Regression, Multiple Linear Regression, Factor Analysis, Structural Equation Modeling, ANOVA (Design of Experiments), Time Series Methods etc.
  • Knowledge of Machine Learning algorithms like: SVM, Neural Nets, Random Forest, K-means clustering, K nearest neighbor, Association Rule Learning etc. Expertise with Text Mining methods is especially desired.
  • Familiarity with database modeling and data warehousing principles with a proven understanding of SQL.
  • Ability to synthesize data from multiple sources for a deep understanding of opportunities.
  • Deep business thinking skills, with the ability to answer business questions, with quantitative and qualitative analysis.
  • Excellent interpersonal, written, and verbal communication skills.
  • Ability to work independently and make key decisions on projects.
  • Description

    Analyzing and evaluating the performance of key business metrics for customer support. This would include mining data from various BI systems, analyzing implications and providing thoughtful analysis to the organization. Analyze large datasets to glean actionable insights and present results of analysis to team and leadership across Apple. Thinking deeply about ways to support new programs while improving the accuracy of our product issue classifications, ensuring data integrity, and scaling the team’s analytical capabilities.

    Education & Experience

    You are currently pursuing a Doctorate in Statistics, Mathematics, Operations Research or equivalent experience along with current student status.

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