Data Scientist - Business Strategy, Product Marketing

At Apple, extraordinary products begin with a deep understanding of the people who use them. The Product Marketing Analytics team sits at the intersection of data science and business strategy, transforming customer data into communications that resonate with Apple product owners worldwide.

As a Senior Data Scientist, you will partner with Business Strategy, Product Marketing and cross-functional teams to develop insights, and predictive models that enable more relevant and meaningful customer engagement. You will proactively identify opportunities, apply advanced analytical and AI-driven approaches, and deliver end-to-end solutions that shape how millions of people experience Apple products.

Description
As a Senior Data Scientist on the Product Marketing Analytics team, you will generate customer insights and build predictive models to support leadership with actionable insights at tactical and strategic levels related to the Apple products. You will identify business problems, define analytical frameworks, and translate complex data into clear visualizations and actionable recommendations that inform strategy, product adoption, and customer engagement.

You will lead analytical initiatives end-to-end—from scoping and data preparation to modeling and delivery—while partnering with Engineering and Machine Learning teams to build scalable solutions. You will also leverage modern AI and LLM-based tooling to accelerate workflows and enhance analytical output.

Responsibilities
Proactively identify business problems and analyze customer behavior to inform strategies for product purchase, upgrades, and cross-product expansion
Translate analytical findings into clear visualizations and actionable recommendations for Business and cross-functional partners
Design, build, and maintain dashboards to track the impact of product launches and marketing activities on a regular cadence
Develop and apply machine learning models (e.g., classification, regression, ensemble methods) to optimize strategies and personalization efforts
Partner with Engineering and Machine Learning teams to develop scalable data pipelines and production-ready modeling solutions
Leverage LLMs and agentic AI workflows to streamline analysis, automate repetitive tasks, and accelerate insight generation, visualization, and modeling
Lead data preparation, integration, and quality assurance to ensure robust and reliable modeling outputs across the project lifecycle

Minimum qualifications
Graduate degree in Business (quantitative focus), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or a related field with 4+ years of experience OR Bachelor's with 6 years of relevant experience.
Strong foundation in machine learning methods, including classification, regression, clustering, and ensemble techniques
Proficiency in Python or Spark, with experience developing production-level analytical solutions
Advanced SQL skills, including query optimization and data modeling in Snowflake
Experience building and maintaining data visualization dashboards using Tableau or other visualization tools

Preferred qualifications
Strong business acumen with the ability to connect analytical insights to strategic decision-making
Experience using LLMs and AI-assisted tooling to improve analytical productivity
Experience presenting analytical findings and recommendations to senior leadership
Experience managing end-to-end analytics projects with multiple competing priorities
Experience partnering with technical and non-technical teams to translate business questions into analytical frameworks
Experience working with incomplete or ambiguous data to deliver results in a dynamic environment