Senior Data Scientist, Apple Ads

At Apple we focus deeply on our customers experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their 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 Data Insights organization helps Apple Ads understand measure forecast optimize and improve the advertising ecosystem across Apple Services. We partner closely with Product Engineering Finance Sales and Leadership teams to solve complex business and product challenges using data experimentation statistical modeling and machine are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience interests and technical strengths. Our hiring process is designed to match candidates to the teams and problem spaces where they can have the greatest impact.

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 Apples advertising platforms. Depending on your area of focus you may contribute to one or more of the following domains:nn- Product and Marketplace Insights: Define measurement frameworks design experiments evaluate product and advertiser outcomes and identify marketplace opportunities that influence product strategy and - 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 - Predictive Modeling Forecasting u0026 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 - Advertiser GTM Research - Quantitative Research u0026 Econometrics: Apply statistical econometric optimization and causal inference techniques to better understand marketplace behavior advertising effectiveness and incrementality in support of strategic 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.

Analyze large-scale datasets to identify opportunities explain business outcomes and influence decisionsn Design and evaluate experiments to understand the impact of products features and marketplace changesnDevelop statistical machine learning forecasting optimization or econometric models to solve business problemsnDefine metrics and measurement frameworks that improve visibility into product and business performancenPartner closely with Product Engineering Sales Finance Marketplace and Leadership teamsnCommunicate analytical findings and recommendations to both technical and non-technical audiencesnTranslate ambiguous business questions into structured analytical approachesnInfluence product business and strategic decisions through data-driven insights and recommendationsnContribute to a culture of analytical rigor experimentation and continuous learning

Bachelors degree in Statistics Economics Mathematics Computer Science Engineering Data Science or a related quantitative discipline or equivalent practical experiencenExperience in Data Science Analytics Machine Learning Quantitative Research Business Analytics or a related fieldnStrong SQL skills and experience working with large-scale complex datasetsnStrong Python programming skills and experience with common analytical libraries including an understanding of code structure testing reproducibility and scalable analytical workflowsnStrong foundation in statistics experimentation causal inference and analytical problem solvingnExperience developing statistical machine learning econometric forecasting or optimization models to solve business problemsnExperience translating analytical findings into business recommendationsnAbility to communicate effectively with technical and non-technical stakeholdersnExperience operating in ambiguous fast-moving environments

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:nDeep familiarity with experiment design and quasi-experimental frameworksnExperience applying causal inference methodologies and deriving insights from observational data at scalenExperience working on real-time bidding systems advertising technology platforms or attribution methodologiesnExposure to digital advertising marketplaces e-commerce media or consumer technology business related analysisnForecasting and time series analysis including revenue supply or demand forecastingnBuilding data products analytical frameworks or decision-support systemsnExperience partnering with Product Engineering Sales Finance or executive leadership teams to drive business outcomes