Senior Data Scientist, Marketing Analytics

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.

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 Marketing Communications and cross-functional partners
Design, build, and maintain Tableau 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 marketing 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
Analyze market investments, including pricing, marketing mix, attribution, channel performance, and partner program effectiveness
Lead data preparation, integration, and quality assurance to ensure robust and reliable modeling outputs across the project lifecycle

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

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

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.

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 $172,100 and $258,600, 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

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.

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Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.