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 marketing strategy, transforming customer data into communications that resonate with Apple product owners worldwide.
As a Senior Data Scientist, you will partner with Marketing Communications and cross-functional teams to develop insights, dashboards, 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.
As a Senior Data Scientist on the Product Marketing Analytics team, you will generate customer insights and build predictive models to support personalized, data-driven marketing communications. You will identify business problems, define analytical frameworks, and translate complex data into clear visualizations and actionable recommendations that inform marketing 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.
Strong business acumen with the ability to connect analytical insights to strategic decision-making
Experience with advanced marketing analytics techniques (e.g., time-series regression, marketing mix modeling, multi-touch attribution)
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
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
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
