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Data Scientist, US Decision Intelligence

Apple· Sales and Business Development
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Cupertino, CA$144.6k - $218kFull-timePosted 1mo ago

About the role

Apple's US Decision Intelligence team seeks a Data Scientist to craft, implement, and operate analytical solutions that impact Apple Sales and its customers. The role focuses on predictive modeling, data visualization, and statistical analysis to build end-to-end solutions leveraging sales performance data, market data, programs, and external data, with opportunities to innovate and scale data science projects, dashboards, and AI-powered tools for sales teams.

Responsibilities

  • 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 implement 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.
  • Influence upstream data model design, drive KPI definitions, and develop your own data solutions as needed.

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 (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.

Skills

Required:PythonSQLLLMs / Prompt EngineeringData VisualizationGit / Collaborative Workflows
Nice to have:Deployment / MLOps

Benefits

  • Discretionary employee stock programs
  • Discretionary restricted stock unit awards
  • Discounted Apple stock via Employee Stock Purchase Plan
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement for career advancement
Last updated Sep 18, 2026. Interested? Apply on the company site.

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