Senior Data Scientist, Apple Ads

Apple Inc.; Cupertino (CA); On-site; USD 147,400 - 272,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Job summary

Apple Inc. is seeking a Data Scientist to work within Data Insights in Cupertino, California. This role involves analyzing large data sets, designing experiments, and developing predictive models to enhance business decisions and drive product strategy.

The ideal candidate will have a background in Statistics or a related field, possess strong SQL and Python skills, and be able to communicate insights effectively. This position offers a salary range between $147,400 and $272,100, along with numerous employee benefits.

Qualifications

• Strong SQL skills and experience working with large-scale, complex datasets.
• Experience in Data Science, Analytics, or a related field.
• Ability to communicate effectively with technical and non-technical stakeholders.

Responsibilities

• Analyze large-scale datasets to identify opportunities and influence decisions.
• Design and evaluate experiments to understand the impact of products.
• Develop statistical and machine learning models to solve business problems.

Skills

SQL

Python programming

Statistics

Machine Learning

Causal inference

Education

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

Job description

Cupertino, California, United States Software and Services

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes, from small app developers to global brands. Because when advertising is done right, it benefits everyone.

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.

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants