below marketmost similar roles pay hereabove market
This role pays less than
61%
of similar roles. Most pay
$186,137–$254,750
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$220k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 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. This role involves solving complex business and product challenges by analyzing large-scale datasets to influence product strategy, business performance, and marketplace health. You will build scalable analytical frameworks, automation solutions, and predictive models for forecasting and optimization. Key responsibilities include designing experiments, defining measurement frameworks, and applying econometric and causal inference techniques to understand marketplace behavior and advertising effectiveness. The role requires proficiency in SQL and Python, along with a strong foundation in statistics, machine learning, and quantitative research. You will translate ambiguous business questions into structured analytical approaches to provide actionable recommendations for technical and non-technical stakeholders across various internal teams.
What does a Data Scientist earn in New York?
Median $173200 from 44 postings across 18 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 statistical, machine learning, forecasting, optimization, or econometric models to solve 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 complex 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 and scalable analytical 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).
Machine Learning
Python
SQL
R
Time Series Forecasting
GenAI
Statistical Modeling
Tableau
Regression
Classification
Clustering
Data Visualization
Data Science
Python
SQL
Machine Learning
LLMs
Statistics
Causal Inference
Data Pipelines
Experimentation Design
Production Readiness
AI
Agentic Workflows
Data Quality