17 days old

AppleCare Support Engineering Data Scientist

Cupertino, CA 95014
  • Job Code
    200203230
Summary

Summary

Posted: Oct 30, 2020

Weekly Hours: 40

Role Number:200203230

Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services,...Summary

Summary

Posted: Oct 30, 2020

Weekly Hours: 40

Role Number:200203230

Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

The AppleCare Platforms and Services Reporting & Analytics team is seeking a Data Scientist for our Product Feedback programs. You will help define, execute, and identify insights that influence new strategies for supporting the product feedback loop. You will also be a hands-on, passionate and deep expert with analytics tools. Experience with advanced machine learning or statistics, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment.

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.

Additional Requirements

Posted: 2021-02-06 Expires: 2021-03-08

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AppleCare Support Engineering Data Scientist

Apple, Inc.
Cupertino, CA 95014

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