Data Scientist - Core Insights, Apple Ads
Quick summary
- Work type
- On-site
- Location
- Austin, TX
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $126,800–$215,350.
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.
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At a glance
TL;DR · Data Scientist - Core Insights, Apple Ads
As a Data Scientist at Core Insights within Apple Ads, you will join a dynamic team focused on driving business growth by answering critical questions about performance, change drivers, and strategic direction. Your primary responsibilities include owning key business metrics, conducting deep-dive analyses to understand metric movements, and translating insights into actionable recommendations for cross-functional partners. You will build and maintain decision-oriented reporting tools while applying statistical analysis and machine learning techniques where appropriate. Success in this role is measured by your ability to influence decisions through clear communication of analytical findings. The ideal candidate has a strong background in data science or business analytics with proficiency in SQL (Snowflake, AWS Athena) and Python (Pandas, SciPy, scikit-learn). Experience in digital advertising, marketplaces, or performance-driven businesses is preferred, along with the ability to work effectively in ambiguous environments and influence decisions based on imperfect data.
Skills
What you'll do
- Own the health of core Apple Ads business KPIs and investigate performance changes.
- Perform deep dives into key drivers using 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 provide concrete recommendations.
- Partner with Product, Marketplace, and Leadership to support business decisions through insights.
- Use machine learning where it improves understanding or outcomes of business metrics.
What we're looking for
- 5+ years of experience in Business Analytics, Data Science, or related analytical roles.
- Strong SQL skills (Snowflake, AWS Athena) and proficiency in Python libraries like Pandas, SciPy, scikit-learn.
- Ability to diagnose metric movement through experimentation, lift analysis, and performance investigations.
- Clear communication of analytical findings to non-technical stakeholders.
- Experience partnering cross-functionally in ambiguous, fast-moving environments.
- Familiarity with digital advertising or marketplaces metrics and business problems.
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