Senior Data Scientist, Apple Ads

Apple Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple Inc. in Austin, Texas seeks a Data Scientist within Data Insights to tackle high-impact problems influencing product strategy, business performance, advertiser outcomes, and marketplace health across Apple's advertising platforms.

The role covers domains such as product and marketplace insights, business analytics, forecasting and econometrics, and communicates findings to both technical and non-technical audiences, collaborating with product, engineering, sales, finance, and leadership

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience.
• Experience in Data Science, Analytics, ML, or related disciplines.
• Strong SQL skills with large-scale datasets.
• Strong Python skills and familiarity with analytical libraries.
• Solid foundation in statistics, experimental design, and causal inference.
• Experience building models to solve business problems and translating findings into recommendations.
• Ability to communicate with both technical and non-technical stakeholders.
• Ability to operate in ambiguous, fast-moving environments.

Responsibilities

• Analyze large-scale datasets to identify opportunities and influence decisions.
• Design and evaluate experiments to understand product and marketplace changes.
• Develop statistical, ML, forecasting, optimization, or econometric models.
• Define metrics and measurement frameworks to improve visibility into performance.
• Partner with Product, Engineering, Sales, Finance, Marketplace, and Leadership teams.
• Communicate analytical findings and recommendations clearly.
• Translate ambiguous questions into structured analytical approaches.
• Influence decisions through data-driven insights and recommendations.
• Contribute to a culture of analytical rigor, experimentation, and continuous learning.

Skills

SQL proficiency

Python programming

Statistics knowledge

Communication

Experimentation

Data storytelling

Education

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or related

Master's or PhD preferred in related quantitative discipline

Tools

SQL

Python

Jupyter

scikit-learn

Job description

Austin, Texas, United States Software and Services

Description

As a Data Scientist within Data Insights, you will work on high-impact problems that influence product strategy, business performance, advertiser outcomes, and marketplace health across Apple's advertising platforms. Depending on your area of focus, you may contribute to one or more of the following domains:

• Product and Marketplace Insights: Define measurement frameworks, design experiments, evaluate product and advertiser outcomes, and identify marketplace opportunities that influence product strategy and decision-making.
• Business Insights: Own key business metrics, identify drivers of business performance, and translate analytical findings into actionable recommendations for leadership. Build scalable analytical frameworks and automation solutions that improve decision-making across the advertising ecosystem.
• Predictive Modeling, Forecasting & Optimization: Develop forecasting, machine learning, and optimization models that improve business performance and operational decision-making. Design robust evaluation frameworks and translate model outputs into scalable business impact.
• Advertiser GTM Research - Quantitative Research & Econometrics: Apply statistical, econometric, optimization, and causal inference techniques to better understand marketplace behavior, advertising effectiveness, and incrementality in support of strategic decision-making.

We hire across multiple levels and specialties within the Data Insights organization. Candidates may be considered for different teams and opportunities based on experience, interests, and business needs. Our goal is to match exceptional talent to the problems where they can create the greatest impact.

Responsibilities

• Analyze large-scale datasets to identify opportunities, explain business outcomes, and influence decisions
• Design and evaluate experiments to understand 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 that improve visibility into product and business performance
• Partner closely with Product, Engineering, Sales, Finance, Marketplace, and Leadership teams
• Communicate analytical findings and recommendations to both technical and non-technical audiences
• Translate ambiguous business questions into structured analytical approaches
• Influence product, business, and strategic decisions through data-driven insights and recommendations
• Contribute to a culture of analytical rigor, experimentation, and continuous learning

Minimum Qualifications

• 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, including an understanding of code structure, testing, reproducibility, 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
• Ability to communicate effectively with technical and non-technical stakeholders
• Experience operating in ambiguous, fast-moving environments

Preferred Qualifications

• Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas:
• Deep familiarity with experiment design and quasi-experimental frameworks
• Experience applying causal inference methodologies and deriving insights from observational data at scale
• Experience working on real-time bidding systems, advertising technology platforms, or attribution methodologies
• Exposure to digital advertising, marketplaces, e-commerce, media, or consumer technology business related analysis
• Forecasting and time series analysis, including revenue, supply, or demand forecasting
• Building data products, analytical frameworks, or decision-support systems
• Experience partnering with Product, Engineering, Sales, Finance, or executive leadership teams to drive business outcomes

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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