Data Scientist-QE Analytics

Cupertino, CA
  • Job Code
    200060714
  • Jobs Rated
    7th
Summary

Summary

Posted: May 20, 2019

Weekly Hours: 40

Role Number: 200060714

Would you like to be a part of shipping groundbreaking technology of large scale systems with natural language processing and artificial intelligence? You will be working with multi-functional engineering, project management and quality teams to help identify product and process quality issues and improve Siri customer experience. Imagine being part of the team that crafts the intelligent assistant which helps millions of people get things done - just by asking

As a Data Scientist in Siri Quality Analytics team, you will be able to work with large test data sets to: Make recommendations to significantly improve the quality of every release. Define the key metrics that quantify the performance and behavior of different features across multiple platforms. Provide data driven insights to shape the product road maps. Predict and preempt production issues even before new features are shipped

Key Qualifications

  • Strong knowledge of relational databases and large scale distributed systems such as Hadoop and Spark along with querying languages including SQL, Hive and SparkSQL
  • Experience in designing a data warehouse over a complex network of data sources that can cater to all transactional and analytical needs of data consumers (humans and technology)
  • Harness data to produce unique, valuable and actionable business insights
  • Applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics
  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Ability to come up with datasets that test the boundary conditions of the models
  • Experience with data science toolkits, such as R, pandas, dplyr, NumPy, etc
  • Present ideas to stakeholders to drive improvements within the organization
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches
  • Ability to communicate the results in a clear and effective manner to leadership teams to influence the overall quality of the product
  • Comfortable supporting, collaborating and communicating with senior management and able to build strong working relationships through active listening, delivering promised results, and establishing trust
  • Ability to initiate and drive projects to completion with minimal guidance in a fast-paced dynamic environment
  • High level of professionalism, energy and sense of urgency to "make things happen" and resolve issues
  • Experience in rapid development cycles, fail fast thinking is highly desirable
  • Great teammate with a positive attitude, strong sense of empathy with ability to make decisions

Description

Siri Quality Engineering (QE) Analytics team drives product quality, test effectiveness and process efficiency by providing data driven insights supporting Quality Engineers. As a part of this team, you are expected to organize data, exploit it and share unique, actionable and valuable business insights that can improve the product, process and policy within the organization. In particular, you will be defining performance metrics, evaluating test cases and devising regression conditions for different models to test the robustness of the models

Your curiosity to understand how the product is used and ability to make customer experience delightful by providing data driven recommendations takes this team a long way

Education & Experience

M.S or Ph.D. in Computer Science, Statistics, Engineering or related fields

Additional Requirements

  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants


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Data Scientist-QE Analytics

Apple, Inc.
Cupertino, CA

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220