Staff Data Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$203,300–$305,600 / yr
Posted
31 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $254k
$87k most similar roles pay here $329k

This role pays more than 96% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $254k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist

As a Staff Data Scientist in the Corporate Functions team, you will lead the technical direction of AI-driven personalization across the Retail Online journey, partnering with engineers and business leaders to enhance customer experiences. Your responsibilities include architecting scalable data solutions, developing ML models for predictive analytics, and integrating LLMs into core workflows to mitigate bias and hallucinations. You will also drive feature evaluation, shape product roadmaps, and mentor junior data scientists while communicating complex findings to executive teams. The role requires expertise in statistical analysis, causal inference, and proficiency in Python or R, SQL, and Spark. Additionally, experience with LLMs, recommendation systems, and MLOps is preferred as you work on large-scale datasets to solve high-impact analytical problems and influence technical vision at the organizational level.

What you'll do

  • Design and execute robust observational and experimental studies to advance causal inference methodologies.
  • Develop AI-native automated solutions using advanced statistical and machine learning methods.
  • Drive the evaluation philosophy for product features and proactively shape the product roadmap with insights.
  • Architect scalable data solutions and AI pipelines to deliver exploratory analyses, reports, and insights.
  • Mentor junior data scientists and drive team-wide best practices in technical vision and methodology.

What we're looking for

  • Masters in Statistics, Mathematics, Data Science, ML, Physics, Engineering, CS or equivalent
  • 5+ years of experience as a Data Scientist
  • Expert proficiency in statistical analysis, causal inference, and predictive modeling
  • Proficiency in SQL, Spark, Python, or R for data science tasks
  • Experience building solutions with LLMs and fine-tuning models
  • Excellent communication skills and product intuition

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