Staff Data Scientist, Experimentation

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$184,700–$324,800 / yr
Posted
129 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $255k
$103k most similar roles pay here $349k

This role pays more than 81% of similar roles. Most pay $126,800–$246,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $187k 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.

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At a glance

TL;DR · Staff Data Scientist, Experimentation

Staff Data Scientist - Experimentation joins the Ads Experimentation team to develop and support a state-of-the-art experimentation platform for the Ads Platform organization. This role involves designing and building a new generation of tools to enable safe, data-driven feature launches while maintaining privacy standards. The successful candidate will perform rigorous analyses, provide technical guidance on statistical techniques, and build scalable data products like pipelines and dashboards. Key responsibilities include conducting end-to-end analyses using SQL, Python, Pyspark, or Scala, and implementing robust data quality checks. The role requires expertise in causal inference, A/B testing infrastructure, and observational causal techniques such as regression, propensity score matching, and instrumental variables. This position solves complex marketplace dynamics by designing experiments to measure the incremental impact of algorithmic changes and advertiser value within a high-performance advertising ecosystem.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Design and build a next-generation experimentation platform for the Ads Platform organization.
  • Develop statistical methods and experiment designs that account for marketplace dynamics and yield reliable treatment effects.
  • Conduct rigorous end-to-end analyses using SQL, Python, and causal inference to improve treatment effect estimates.
  • Build scalable data pipelines, dashboards, and automated reporting tools using SQL, Pyspark, or Scala.
  • Provide technical guidance to engineers and scientists on statistical techniques and experiment design.
  • Design and execute counterfactual causal inference studies to measure the long-term impact of interventions.
  • Identify and prioritize high-impact questions by working directly with senior stakeholders.
  • Mentor junior engineers and scientists on the team.

What we're looking for

  • 8+ years of experience in software and data science or statistics.
  • 8+ years of industry experience building scalable applications.
  • Advanced degree in Computer Science, Statistics, Applied Math, or a related field.
  • In-depth understanding of SQL and causal inference.
  • Proficiency in SQL and Pyspark or Scala to build data products and pipelines.
  • Experience with A/B testing infrastructure, methodologies, and randomized control trials.
  • Familiarity with causal machine learning tools and observational causal techniques like regression and propensity score matching.
  • Ability to lead the design, development, and maintenance of scalable data pipelines with robust quality checks.

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