Staff Data Scientist - Experimentation

Apple Inc

Quick summary

Work type
On-site
Location
New York, NY
Salary
$181,100–$318,400 / yr
Posted
31 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $250k
$74k most similar roles pay here $345k

This role pays more than 96% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $250k versus about $154k 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 - Experimentation

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As a Staff Data Scientist at the Ads Experimentation team within Apple’s Advertising Platforms group, you will play a pivotal role in developing and supporting a state-of-the-art experimentation platform that enables data-driven decision-making while upholding user privacy standards. Your responsibilities include designing experiments, applying statistical methods to analyze marketplace dynamics, and collaborating with cross-functional teams to ensure seamless integration of new features. You will leverage SQL, Python, PySpark, and Scala to build scalable data pipelines and dashboards for automated experiment reporting. Additionally, you will mentor junior team members and work closely with senior leaders to identify high-impact questions and drive actionable insights. This role demands expertise in causal inference, A/B testing methodologies, and a deep understanding of software development lifecycle practices.

Skills

Python SQL Pyspark Scala R A/B testing Causal inference Regression analysis Propensity score matching Difference in differences Regression discontinuity Instrumental variables Data pipelines Data quality checks Monitoring systems Data lineage tracking CI/CD

What you'll do

  • Design and build a new generation of experimentation platform for ads using leading-edge technologies.
  • Conduct rigorous analyses to uncover insights and improve treatment effect estimates using SQL, Python, and statistical methods.
  • Provide expert technical guidance on statistical techniques, experiment design, and data engineering to cross-functional teams.
  • Lead the development and maintenance of scalable and reliable data pipelines with robust quality checks and monitoring systems.
  • Collaborate with stakeholders to identify, scope, and prioritize high-impact questions related to experimentation and data analysis.
  • Design controlled experiments or causal inference studies to estimate the long-term impact of interventions in a marketplace setting.

What we're looking for

  • 8+ years of software and data science experience with SQL expertise
  • Conduct rigorous analyses using statistical methods to improve treatment effect estimates
  • Experience with A/B testing infrastructure and causal inference techniques
  • Design and analyze controlled experiments for estimating intervention impacts
  • Proficiency in SQL, PySpark or Scala for building scalable data products
  • Lead the development of reliable data pipelines and advocate best practices
  • Strong communication skills and ability to work in a cross-functional team

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