Data Scientist - Business Strategy, Product Marketing

Data Scientist - Business Strategy, Product Marketing Cupertino, California, United States Corporate Functions 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 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 $175,500 and $263,800, 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. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple