Senior AIML Data Scientist, Evaluation & Insights

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock programs

Medical and dental coverage

Retirement benefits

Discounted products

Tuition reimbursement

Relocation assistance

Discretionary bonuses

Job summary

Apple is seeking a Senior Data Scientist in Cupertino, California to advance analytics for AI features. You will apply statistical methods and LLM-based analyses to understand product usage, design metrics, and guide feature improvements while partnering with Engineering and product teams in a privacy-conscious framework.

The role requires 3+ years in data science, Python/SQL expertise, and a Master’s degree in a technical field (PhD preferred).

Qualifications

• 3+ years of data science experience with structured and unstructured data.
• Strong Python and SQL programming skills.
• Experience with LLM-driven analytics workflows.
• Ability to analyze user behavior, run A/B experiments, and translate findings into product improvements.
• Master degree in a technical or quantitative field; PhD preferred.

Responsibilities

• Use statistical and LLM analyses to deepen understanding of Apple’s AI products.
• Investigate worldwide product usage to identify weaknesses and improvement opportunities.
• Define metrics and instrumentation strategies to assess new features.
• Collaborate with Engineering and product partners on privacy-first analytics.

Skills

Experiment design

Data analysis

Communication skills

Ambiguity tolerance

Influencing decisions with data

Education

Master's degree in Statistics, Mathematics, CS, Engineering, Linguistics, or Physics

Tools

Python

SQL

LLM workflows

NLP

Job description

Apple is seeking a Senior Data Scientist in Cupertino, California to advance analytics for AI features. You will apply statistical methods and LLM-based analyses to understand product usage, design metrics, and guide feature improvements while partnering with Engineering and product teams in a privacy-conscious framework.

The role requires 3+ years in data science, Python/SQL expertise, and a Master’s degree in a technical field (PhD preferred).