Posted: Sep 11, 2026
Weekly Hours: 40
Role Number:200682042
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers. As a Data Scientist, US Decision Intelligence, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making.
In this role, you will build and scale the automated insight pipeline that powers our sales organization. You'll develop ML models that detect opportunities, diagnose performance issues, and recommend actions—then embed these insights into AI agents, dashboards, and GenAI-powered tools used by sales teams. Your core responsibilities include: - Lead end-to-end insight development: from data preparation and statistical analysis to LLM prompt engineering that translates findings into sales-ready insights. - Design and deploy ML models for forecasting, anomaly detection, attribution modeling, and causal inference—either building custom solutions or adapting Apple's existing ML services. - Build RCA and recommendation engines that enhance summarization and chatbot capabilities. Analyze agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction. - Support experimentation and A/B testing for new insight types and interaction methods. - Partner with AI engineers and PMs to scale features across regions and tools. - Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both. - Influence upstream data model design, drive KPI definitions, and develop your own data solutions as needed.
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 $144,600 and $218,000, 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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Apple accepts applications to this posting on an ongoing basis.
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