The Data Scientist role within Apple's US Decision Intelligence team focuses on developing analytical solutions that enhance sales performance and customer experiences. This position involves using predictive modeling, data visualization, and statistical analysis to create insights that drive decision-making. The successful candidate will work on both existing data solutions and innovative projects, leveraging various data sources to inform sales strategies. Collaboration with AI engineers and product managers is essential to scale features and improve data-driven insights.

• 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, and hypothesis testing.
• Proficiency in SQL and experience with cloud data platforms like Snowflake or BigQuery.
• Expertise with data visualization tools such as Tableau or plotly.
• Experience with Git and collaborative development workflows.
• Familiarity with deployment frameworks and tools like Docker or Kubernetes.
• Bachelor's degree in Computer Science, Statistics, or a related field.
• Advanced Degree (MS or Ph.D.) in a quantitative field is preferred.

• Lead end-to-end insight development from data preparation to sales-ready insights.
• Design and deploy ML models for forecasting and anomaly detection.
• Build RCA and recommendation engines to enhance chatbot capabilities.
• Support experimentation and A/B testing for new insight types.
• Partner with AI engineers and PMs to scale features across regions.
• Act as a data translator between technical teams and business stakeholders.
• Influence upstream data model design and drive KPI definitions.
• Develop data solutions as needed to meet business requirements.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.