AIML - Sr. Data Scientist, Apple Intelligence

Apple; Cupertino (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

An established industry player seeks a Sr. Data Scientist to enhance understanding of user interactions with an intelligent assistant. This role is pivotal in shaping the future of AI, utilizing analytical methods to uncover insights from vast data sets. You will collaborate with engineering teams to drive product improvements and ensure a privacy-first approach to data analysis. Join a forward-thinking company committed to innovation, where your contributions will directly impact millions of users and help define the next generation of intelligent computing.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Qualifications

• 5+ years experience in data science with strong programming skills.
• Proficiency in SQL and Python for data analysis and reporting.

Responsibilities

• Analyze product usage to identify weaknesses and opportunities.
• Design A/B tests and define metrics for success assessment.

Skills

Statistical Analysis

Data Manipulation

SQL

Python

A/B Testing

Natural Language Processing (NLP)

Critical Thinking

Education

Master's Degree in Statistics

PhD in a quantitative field

Job description

AIML - Sr. Data Scientist, Apple Intelligence

Cupertino, California, United States Machine Learning and AI

Summary

Posted: Feb 28, 2025

Weekly Hours: 40

Role Number: 200583968

Would you like to shape the future of intelligence computing? Want to contribute to transforming how human beings use language interact with across hundreds of millions of customers and billions of interactions? We are looking for a Sr. Data Scientist to drive scalable product understanding for Siri Assistant and Apple Intelligence generally. This role involves using analytical and engineering methods to develop conceptual abstractions and automation strategies to find insights in user and LLM training data. The scope will span all areas of Siri functionality and extend into Apple’s new Apple Intelligence product strategy, with the goal of uncovering insights that drive up product quality aligned with the future of AI.

Description

As a Sr. Data Scientist for Apple Intelligence, you will use statistical analysis of structured data to deepen our understanding of how hundreds of millions of people use Siri across an array of products, including iPhone, HomePod, Mac, and new products yet-to-be-released, and across endless use cases from music to home automation and general knowledge discovery.

1. Investigate world-wide product usage to identify weaknesses and opportunities to make the product better.
2. Define metrics and design A/B tests with instrumentation to assess the success of new features.
3. Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight.
4. Employ a diverse toolkit of rigorous analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve Siri.
5. Build credibility with partners through clarity and structured, strategic thinking.

Minimum Qualifications

1. 5+ years experience or equivalent as a data science practitioner.
2. Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports.
3. Strong programming skills in data manipulation & processing including SQL, Python, and ideally software engineering experience.
4. Experience with understanding the complexity of user behavior via deep-dive investigations as well as designing, analyzing, and interpreting A/B experiments.
5. Self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to figure out and improve how things work.
6. Master's Degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or Physics. (PhD preferred)

Preferred Qualifications

1. High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
2. Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
3. Demonstrated experience in cultivating stakeholder relationships and influencing decisions with data.
4. Masters or PhD (or equivalent) in a quantitative field.
5. Experience with Natural Language Processing (NLP).
6. Experience with development of dataset and analysis conceptual methodologies.

Pay & Benefits

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 $143,100 and $264,200, 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 take affirmative action to ensure 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.