AIML - Data Scientist, Evaluation

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock programs

Medical and dental coverage

Retirement benefits

Discounted products

Tuition reimbursement

Relocation assistance

Discretionary bonuses

Job summary

Apple is seeking a Senior Data Scientist in Cupertino, California to advance analytics for AI features. You will apply statistical methods and LLM-based analyses to understand product usage, design metrics, and guide feature improvements while partnering with Engineering and product teams in a privacy-conscious framework.

The role requires 3+ years in data science, Python/SQL expertise, and a Master’s degree in a technical field (PhD preferred).

Qualifications

• 3+ years of data science experience with structured and unstructured data.
• Strong Python and SQL programming skills.
• Experience with LLM-driven analytics workflows.
• Ability to analyze user behavior, run A/B experiments, and translate findings into product improvements.
• Master degree in a technical or quantitative field; PhD preferred.

Responsibilities

• Use statistical and LLM analyses to deepen understanding of Apple’s AI products.
• Investigate worldwide product usage to identify weaknesses and improvement opportunities.
• Define metrics and instrumentation strategies to assess new features.
• Collaborate with Engineering and product partners on privacy-first analytics.

Skills

Experiment design

Data analysis

Communication skills

Ambiguity tolerance

Influencing decisions with data

Education

Master's degree in Statistics, Mathematics, CS, Engineering, Linguistics, or Physics

Tools

Python

SQL

LLM workflows

NLP

Job description

Cupertino, California, United States Machine Learning and AI

Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. As part of our online metrics and insights team, we are looking for a Sr Data Scientist to contribute to product understanding and development of Apple features. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models and perform insights analyses to uncover product quality issues that can inform improving the overall user experience.

Description

As a Sr Data Scientist, you will use statistical and LLM analysis of structured and linguistic data to deepen our understanding of Apple’s AI product and support the development of future versions. Investigate world-wide product usage to identify weaknesses and chances to create the product better. Define metrics and instrumentation strategies to assess the success of new features. Build relationships with Engineering leads and product partners to drive a privacy-first strategy for analytical insight. Employ a diverse toolkit of detailed analytical approaches, methodologies, frameworks, and technical strategies with a particular focus on language data analysis. Build credibility with partners through clarity and structured, critical thinking.

Minimum Qualifications

• 3+ years of data science experience applying quantitative methods to structured and unstructured data for exploratory data analysis, pattern recognition, metrics development, and analytical insights.
• Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines.
• Experience with LLM-driven analytics workflows, using Python coding frameworks and evaluation pipelines.
• Proven ability to analyze user behavior, design and interpret A/B experiments, and translate findings into product improvements.
• Master degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Linguistics, or Physics (PhD preferred).

Preferred Qualifications

• Experience with Natural Language Processing (NLP) and LLMs.
• Experience with development of dataset and analysis conceptual methodologies.
• Self-motivated and curious with demonstrated creative and critical thinking capabilities and a highly developed drive to determine and improve how things work.
• Excellent communication skills—able to synthesize analyses into clear insights and influence multi-functional partners.
• High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
• Demonstrated experience in encouraging partner relationships and influencing decisions with data.

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 $150,400 and $277,600, 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.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.