Data Scientist, US Decision Intelligence

Apple Inc.; Northern (KY); Hybrid; USD 145,000 - 218,000; Full time

Job summary

Apple Inc. is seeking a Data Scientist for the US Decision Intelligence team in Cupertino, CA.

You will craft predictive models, build end-to-end insight pipelines, and deploy LLM-powered solutions to empower Apple’s sales force and partners. The role emphasizes translating business problems into technical solutions, partnering with data engineers, software developers, and business stakeholders, and delivering measurable improvements across regions and tools.

Qualifications

• 4+ years in data science, data analysis, or data visualization.
• Experience with LLMs, RAG architectures, and prompt engineering.
• Proficient in Python and ML/data science libraries.
• Strong SQL skills and experience with cloud data platforms (Snowflake, Spark, BigQuery).
• Experience with data visualization tools (Tableau, Plotly, d3).
• Familiarity with Git and deployment frameworks (Docker, Kubernetes).

Responsibilities

• Lead end-to-end insight development from data prep to deployment.
• Design and deploy ML models for forecasting and anomaly detection.
• Build RCA and recommendation engines to enhance insights and chatbots.
• Evaluate LLMs and establish pipelines for model monitoring and latency control.
• Collaborate with AI engineers, PMs, and stakeholders to scale features across regions.

Skills

LLMs

Python

SQL

Data Visualization

Git

Docker

Time Series

Education

Bachelor’s degree in Computer Science or related

Tools

Snowflake

BigQuery

Tableau / Tableau Server

Kubernetes

Job description

Cupertino, California, United States Sales and Business Development

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.

Description

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.

• 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.

Minimum Qualifications

• 4+ years of experience in a Data Science, Data Analysis, or Data Visualization role.
• Hands-on experience with LLMs, RAG architectures, and prompt engineering.
• Strong proficiency in Python and ML/data science libraries.
• Applied knowledge of statistical data analysis, predictive modeling, classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with cloud data platforms (Snowflake, Spark, BigQuery, etc.)
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Experience with Git and collaborative development workflows.
• Familiarity with deployment frameworks and tools (Docker, Kubernetes, FastAPI, or similar).
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Proven ability to translate business problems into technical solutions and communicate findings to non-technical stakeholders.
• Experience co-developing with data scientists and software engineers in production environments.
• Strong time management skills with the ability to collaborate across multiple teams.
• Ability to balance competing priorities, long-term projects, and ad hoc requirements.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Production experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, etc.)
• Familiarity with LLM observability and evaluation tools (LangSmith, Weights & Biases, TruLens, etc.)
• Experience with vector databases, embedding models, and retrieval algorithms
• Knowledge of agent architectures and knowledge graphs for LLM applications
• Experience with CI/CD pipelines and MLOps practices
• Experience with drift detection and model monitoring in production
• Track record of presenting insights to senior leadership and influencing business strategy
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

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.

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.

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.

Apple accepts applications to this posting on an ongoing basis.