Product Support Data Scientist Lead

4 days ago


San Diego, California, United States Apple Full time

Role Overview

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At Apple, we're looking for a talented Data Insights Specialist to join our ACBIOS team. This is an exciting opportunity to make a meaningful impact on our customers' experience and support Apple products throughout their life cycle.

In this role, you will be responsible for deriving insights into the software quality of Apple's products. You will craft and implement machine learning models, establish algorithms, and build tools to identify anomalies in metrics related to software field performance and product quality.

You will collaborate with cross-functional teams to establish relationships, find opportunities, develop performance indicators, and communicate complex data analyses. Your expertise will help teams around Apple understand what product and software improvements are priorities to address.

Key Responsibilities

  • Craft and implement machine learning models to identify anomalies in metrics related to software field performance and product quality
  • Establish algorithms and build tools to gain a deep understanding of why customers contact Apple for support
  • Collaborate with cross-functional teams to establish relationships, find opportunities, develop performance indicators, and communicate complex data analyses
  • Build and refine anomaly detection tools and algorithms to improve our ability to identify and respond earlier to emerging signals in our data
  • Research and implement new technologies and methods in data science, data engineering, and data visualization to elevate the technical proficiency and innovation of our team

Requirements

  • MA or MS degree in statistical analysis, computer science, data science, or related field
  • 3+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems
  • Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences
  • Proficiency in SQL, preferably in Snowflake
  • Experience with anomaly and outlier detection methods and algorithms
  • Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn
  • Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues
  • Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies
  • Experience leveraging Large Language Models (LLMs) to generate, refine, evaluate, and analyze text data for practical applications

Benefits

  • Estimated salary: $145,000 - $175,000 per year
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments
  • Relocation assistance (if applicable)

About Apple

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We're committed to inclusion and diversity, taking affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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