Data Scientist, Client Insights - Apple Ads

As a Machine Learning Data Scientist on this team, you’ll combine advanced analytics, machine learning, and statistical modeling to develop client insights that influence advertiser strategy. Working closely with Sales, Marketing, Product, Engineering, and cross-functional Data Science teams, you’ll build scalable analytical solutions and translate complex analyses into strategic recommendations for customers and executive stakeholders.

Examples of work include:

• Develop and pilot client-specific insights with strategic customers.

• Identify opportunities and recommendations that support advertiser business goals.

• Design and evaluate advertiser experiments.

Responsibilities:

Apply advanced analytical and machine learning techniques to solve complex advertiser business problems.

Develop and pilot analytical approaches that generate impactful client insights.

Translate complex analyses into key findings, clear recommendations, and industry narratives for C-suite and senior marketing, user acquisition, data science, and other client audiences, sometimes challenging preconceived notions about app advertising

Partner directly with advertisers and collaborate with Sales, Marketing, Product, Engineering, and Data Science teams to deliver and scale high-impact client insights.

Measure the impact of client insights and identify opportunities to improve or scale successful approaches.

Uphold Apple’s privacy principles across analytical work and customer engagements.

Travel 10-30% of the time, depending on business needs.

Master’s or PhD in a quantitative discipline.

Deep understanding of digital advertising, marketing science, marketplaces, or consumer technology.

Expertise in statistical modeling, experimentation, causal inference, forecasting, or optimization.

Familiarity with advertising measurement, attribution, incrementality testing, or Media Mix Modeling., Understanding of search engine marketing, app-install advertising, agency ecosystems, and mobile measurement partners

Strong business judgment and a track record of connecting analytical findings to customer strategy.

Minimum Qualifications

Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience.

5+ years of experience in Data Science, Machine Learning, Analytics, Quantitative Research, Consulting, Business Analytics, or a related field.

Strong Python and SQL skills for analyzing large, complex datasets.

Strong foundation in statistics, experimentation, machine learning, and analytical problem solving.

Experience working directly with clients or senior business stakeholders to solve ambiguous problems and deliver data-driven recommendations.

Exceptional communication skills with the ability to translate complex analyses for technical, business, and executive audiences.

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 $150,400 and $277,600, 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

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.

The Client Insights team partners with advertisers to maximize the value of Apple Ads through advanced analytics, machine learning, insights pilots, and data-driven recommendations.