Taro Logo

Support Knowledge Data Scientist, AppleCare - knowledge graph exp.

Apple is a global technology company that designs, manufactures, and sells consumer electronics, software, and services.
$185,600 - $278,900
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Support Knowledge Data Scientist, AppleCare - knowledge graph exp.

Apple is seeking a Support Knowledge Data Scientist for their AppleCare division, focusing on knowledge graph expertise. This role combines cutting-edge data science with practical business applications, directly impacting customer experience. The position involves creating sophisticated web services that provide visual insights into customer support patterns, helping Apple understand and improve their product ecosystem.

The ideal candidate will work at the intersection of machine learning, knowledge graphs, and large language models, developing innovative solutions to analyze and visualize customer support data. With a required 10+ years of experience and advanced degree, this role demands expertise in both technical implementation and business communication.

Key responsibilities include developing web services for visual data understanding, collaborating across teams, and implementing advanced analytics solutions. The role offers competitive compensation ($185,600-$278,900), comprehensive benefits, and the opportunity to work with cutting-edge technologies at one of the world's leading tech companies.

This position is perfect for someone who combines deep technical expertise in graph-based data science with strong communication skills and a passion for improving customer experience. You'll be working with large-scale data sets, applying advanced analytical techniques, and helping shape the future of Apple's customer support systems.

The role offers significant growth potential and the chance to work with emerging technologies like LLMs and knowledge graphs. Located in San Diego, this position provides an opportunity to join Apple's innovative Support and Service team, contributing to the company's commitment to exceptional customer experience.

Last updated 6 months ago

Responsibilities For Support Knowledge Data Scientist, AppleCare - knowledge graph exp.

  • Apply skills in machine learning, knowledge graphs, and software engineering to create web services
  • Create visual understanding of customer support contacts
  • Collaborate with cross-functional teams
  • Research and implement new technologies combining knowledge graphs with LLMs
  • Handle large, complex sets of unstructured text
  • Develop performance indicators
  • Communicate complex data analyses

Requirements For Support Knowledge Data Scientist, AppleCare - knowledge graph exp.

Python
  • MA or MS degree in statistical analysis, computer science, data science, ontology, knowledge graphs, applied mathematics, or related field
  • 10+ years experience in deploying graph based data science or machine learning techniques
  • Outstanding written and verbal communication skills
  • Proficiency in SQL, preferably in Snowflake and graph query languages
  • Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn, NetworkX
  • Experience in quantitative data analysis
  • Experience leveraging Large Language Models (LLMs)
  • Proficiency with knowledge graph tools and frameworks such as Neo4j, Tigergraph
  • Experience with data integration and entity resolution
  • Ability to apply graph-based algorithms

Benefits For Support Knowledge Data Scientist, AppleCare - knowledge graph exp.

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on products
  • Free services

Interested in this job?