Product Support Data Scientist

Apple is a technology company that creates innovative products, services, and customer experiences.
$136,300 - $248,700
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Product Support Data Scientist

Join Apple's AppleCare Business Insight, Operations and Systems (ACBIOS) team as a Support Insight Data Scientist, where you'll play a crucial role in enhancing customer experience through data-driven insights. This position offers an exciting opportunity to directly impact Apple's product lifecycle and customer support quality. You'll be responsible for developing and implementing machine learning models, particularly focusing on natural language processing and anomaly detection, to analyze customer support data and improve software quality.

The role combines technical expertise in data science with practical business application, requiring you to work with large-scale datasets and implement cutting-edge analytical solutions. You'll collaborate with cross-functional teams to translate complex data analyses into actionable insights that drive product improvements. The position demands both technical proficiency in tools like Python, SQL, and machine learning frameworks, as well as strong communication skills to convey complex concepts to non-technical stakeholders.

At Apple, you'll be part of a team that values innovation and creative problem-solving, with access to super-computing resources and state-of-the-art technologies. The role offers competitive compensation, comprehensive benefits, and the opportunity to contribute to products used by millions globally. This is an ideal position for someone who combines strong technical skills with business acumen and wants to make a direct impact on customer experience at one of the world's leading technology companies.

Last updated an hour ago

Responsibilities For Product Support Data Scientist

  • Craft and implement natural language-based machine learning models
  • Establish algorithms and build analytic tools to identify anomalies
  • Analyze software field performance and product quality metrics
  • Collaborate with cross-functional teams and business stakeholders
  • Build and refine anomaly detection tools for unstructured text data
  • Research and implement state of the art technologies in data science
  • Construct and maintain dashboards and self-service tools
  • Handle large, complex data sets with super-computing

Requirements For Product Support Data Scientist

Python
  • 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
  • Outstanding written and verbal communication skills
  • 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
  • Creative approach to engineer innovative features and signals
  • Experience leveraging Large Language Models (LLMs)

Benefits For Product Support Data Scientist

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee Stock Purchase Plan
  • Discretionary restricted stock unit awards
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee product discounts

Interested in this job?

Jobs Related To Apple Product Support Data Scientist

Software Engineer - Strategic Data Solutions

Software Engineer position at Apple's Strategic Data Solutions team focusing on fraud prevention and data analysis systems.

Project Manager, AppleCare Fraud - Strategic Data Solutions

Project Manager position at Apple focusing on fraud prevention and strategic data solutions for AppleCare, requiring 5+ years of experience in warranty protection and project management.

Materials Engineer, Failure Analysis Labs

Materials Engineer position at Apple's Failure Analysis Labs, combining materials science expertise with project management to lead critical analysis projects.

Support Insight Data Scientist

Data Scientist role at Apple focusing on software quality analysis and customer experience improvement through machine learning and advanced analytics.

Software Engineer - Strategic Data Solutions

Software Engineer role at Apple's Strategic Data Solutions team focusing on fraud prevention and data analysis, offering competitive pay and benefits.