below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$200,437–$254,750.
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
3544 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2734 roles with salary data.
The Senior Data Scientist, Apple Ads joins the Data Insights organization to help understand, measure, forecast, and optimize the advertising ecosystem across Apple Services. Working with Product, Engineering, Finance, and Sales teams, you will solve complex business challenges by analyzing large-scale datasets to influence product strategy and marketplace health. Your daily work involves defining measurement frameworks, designing experiments, and building scalable analytical automation solutions. You will develop statistical, machine learning, forecasting, optimization, and econometric models to improve business performance and operational decision-making. Key technical requirements include proficiency in SQL and Python, with a strong foundation in statistics, causal inference, and experimentation. You will translate ambiguous business questions into structured analytical approaches to provide actionable recommendations for both technical and non-technical stakeholders within the advertising marketplace.
What does a Data Scientist earn?
Median $171000 from 347 postings across 66 companies.
Analyze large-scale datasets to identify business opportunities and explain performance outcomes.
Design and evaluate experiments to measure the impact of products, features, and marketplace changes.
Develop machine learning, forecasting, optimization, and econometric models to solve complex business problems.
Define metrics and measurement frameworks to improve visibility into product and business performance.
Translate ambiguous business questions into structured analytical approaches and actionable recommendations.
Communicate analytical findings and data-driven insights to both technical and non-technical audiences.
Build scalable analytical frameworks and automation solutions to improve decision-making across the advertising ecosystem.
What we're looking for
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience.
Experience in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a related field.
Strong SQL skills and experience working with large-scale, complex datasets.
Strong Python programming skills and experience with common analytical libraries, code structure, testing, and scalable workflows.
Strong foundation in statistics, experimentation, causal inference, and analytical problem solving.
Experience developing statistical, machine learning, econometric, forecasting, or optimization models to solve business problems.
Experience translating analytical findings into business recommendations and communicating with technical and non-technical stakeholders.
Masters or PhD in a quantitative discipline and experience in experiment design, causal inference, or advertising technology (preferred).
Data Science
A/B Experimentation
Causal Inference
Statistical Modeling
Machine Learning
Adaptive Control
Model-Predictive Control
Production Systems
Ads Optimization
Budget Allocation
Pacing Algorithms