Data Scientist - Core Insights, Apple Ads

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $141,800–$258,600 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $200k

$108k most similar roles pay here $275k

This role pays more than 68% of similar roles. Most pay $126,800–$215,350 — the shaded band above. At the midpoint, this role pays about $200k versus about $171k for comparable roles.

Based on 239 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Scientist - Core Insights, Apple Ads

Apply Now Log in to save

As a Data Scientist at Core Insights within Apple Ads, you will join a dynamic team focused on driving business performance by answering critical questions about the health and direction of key metrics. Your primary responsibilities include owning the monitoring and analysis of core KPIs, conducting deep dives into metric drivers, and building decision-oriented reporting tools. You will leverage advanced analytics and machine learning to diagnose performance changes and provide clear recommendations for cross-functional partners. The role requires strong SQL (Snowflake, AWS Athena) and Python skills, along with experience in statistical analysis and data science techniques. Ideal candidates have a background in digital advertising or marketplaces and can effectively communicate analytical insights to non-technical stakeholders in fast-paced environments.

Skills

Python Pandas SciPy scikit-learn SQL Snowflake AWS Athena Statistical Analysis Machine Learning Experimentation Dashboards CI/CD

What you'll do

Own the health of core Apple Ads business KPIs and investigate performance changes.
Perform deep dives into key drivers, including baselines, seasonality, segmentation, and causal hypotheses.
Build and maintain decision-oriented reporting and dashboards for clarity in insights.
Apply statistical analysis to diagnose metric movement and translate findings into actionable recommendations.
Partner with Product, Partner Development, Marketplace, and Leadership to support business decisions through insights.
Use experimentation, statistical analysis, and machine learning to enhance business understanding and outcomes.

What we're looking for

5+ years of experience in Business Analytics, Data Science, or related analytical roles.
Strong SQL and Python skills with proficiency in Pandas, SciPy, and scikit-learn.
Ability to diagnose metric movement through experimentation and performance investigations.
Clear communication of analytical findings to non-technical stakeholders.
Experience partnering cross-functionally in ambiguous, fast-moving environments.
Bachelor’s degree in Computer Science, Machine Learning, or a related field.

Similar roles

Data Scientist, Apple Services Digital Marketing

Apple Inc

Cupertino, CA 37 days ago $141,800–$213,700

Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing SEO Paid_media Marketing_mix_modeling Attribution_models

Save

Data Scientist, Apple Services Digital Marketing

Apple Inc

Culver City, CA 37 days ago $134,800–$203,000

Python R SQL Git GitHub GitLab Supervised_learning Unsupervised_learning Regression Classification Clustering Decision_trees Neural_networks Digital_marketing Marketing_mix_modeling Attribution_models CI/CD

Save

Senior Data Scientist, Ads

Remote (US) 8 days ago $190,800–$267,100

Python TensorFlow PyTorch scikit-learn SQL Spark Hadoop BigQuery R CI/CD A/B testing Causal inference Machine learning Statistical modeling Data processing Data analysis

Remote

Save