The Sr Data Scientist role is part of the Evaluation organization at Apple, focusing on enhancing the automatic evaluation of various AI products. This position involves using analytical and engineering methods, particularly with LLMs and Python, to develop models and perform analyses that improve product quality and user experience. The role requires collaboration with engineering leads and product partners to drive a privacy-first strategy for analytical insights. The ideal candidate will have a strong background in data science and a passion for understanding and improving AI products.

• 3+ years of data science experience applying quantitative methods to structured and unstructured data.
• Strong programming skills in Python and SQL.
• Experience with LLM-driven analytics workflows.
• Proven ability to analyze user behavior and design A/B experiments.
• Master's degree in a technical or quantitative field, with a PhD preferred.
• Experience with Natural Language Processing (NLP) and LLMs.
• Self-motivated and curious with strong creative and critical thinking skills.
• Excellent communication skills to synthesize analyses into clear insights.

• Use statistical and LLM analysis of data to deepen understanding of Apple's AI products.
• Investigate worldwide product usage to identify weaknesses and opportunities for improvement.
• Define metrics and instrumentation strategies to assess the success of new features.
• Build relationships with engineering leads and product partners.
• Employ diverse analytical approaches and methodologies focused on language data analysis.
• Encourage partner relationships and influence decisions using data.

• 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.