Senior Data Scientist

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$184,700–$324,800 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $255k
$113k most similar roles pay here $347k

This role pays more than 92% of similar roles. Most pay $153,700–$231,300 — the shaded band above. At the midpoint, this role pays about $255k versus about $192k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior Data Scientist

Sr. Data Scientist, Apple Business & Education Organization joins the Business & Education Data Organization to embed data-informed thinking into decision-making processes. This role involves partnering with product, engineering, and business teams to generate insights, measure impact, and guide strategy for cloud and software solutions like Apple Business Manager and managed accounts. You will design performance metrics, lead controlled experiments using causal frameworks, conduct deep behavioral analysis on acquisition and retention, and develop productionized ML and statistical models. The role also involves leveraging generative AI to automate analytical workflows and building reliable data pipelines with engineering teams. Required skills include proficiency in SQL and Python or R, experience with Hive, Spark, and Presto, and expertise in product analytics. The work focuses on solving complex problems for B2B and enterprise products serving organizations.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Design performance metrics to measure product health, user engagement, and business impact.
  • Lead controlled experiments and apply causal frameworks to evaluate initiatives at scale.
  • Conduct behavioral analysis to identify trends in acquisition, engagement, and feature adoption.
  • Develop and productionize ML and statistical models for predictive and diagnostic insights.
  • Leverage generative AI to automate analytical workflows and expand measurement capabilities.
  • Partner with engineering and product teams to define instrumentation and build reliable data pipelines.
  • Translate complex data findings into actionable narratives for senior leadership to inform roadmaps.

What we're looking for

  • 7+ years of experience in data analytics or data science.
  • 5+ years of experience applying statistical modeling or machine learning in production.
  • Proficiency in SQL and Python/R with strong statistical and experimental design foundations.
  • Experience with generative AI or ML-based agents for automating analytical workflows and building data products at scale.
  • Proven ability to influence cross-functional initiatives and communicate complex concepts to senior audiences.
  • Expertise in product analytics, launch reporting, and impact measurement.
  • Advanced degree in a quantitative field (preferred).
  • Experience with B2B/enterprise products, advanced causal inference, or large-scale data ecosystems like Hive, Spark, and Presto (preferred).

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