Data Scientist / Senior Data Scientist, Software Engineering

Apple Inc.; Cupertino (CA); On-site; USD 144,600 - 263,800; Full time

Benefits offered by this job

Medical & dental

Stock programs

Tuition reimbursement

Job summary

Apple Inc. in Cupertino, CA is seeking a Data Scientist/Senior Data Scientist to analyze vast data from iOS, macOS, and other platforms. You will own end-to-end analytics, build scalable data processing, and translate insights into product improvements while collaborating with cross-functional teams.

The role emphasizes strong SQL, Python or R skills, and experience with large-scale data systems. Competitive base pay, comprehensive benefits, and stock programs accompany this opportunity.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• Strong proficiency in SQL and at least one programming language (Python or R) with data visualization experience (Tableau/Looker).
• 3+ years of data science or related experience, preferably in a consumer tech company.
• Strong fundamentals in data engineering, analytics, statistics, and machine learning.
• Experience with distributed computing frameworks like Spark, Hadoop or Flink.
• Excellent interpersonal and communication skills, with the ability to collaborate with technical and non-technical teams.
• Self-motivated and intellectually curious, thriving in ambiguity.

Responsibilities

• Design and own foundational datasets, visualizations and reports for Apple’s leadership.
• Develop robust metrics frameworks, data pipelines, and reporting to measure health and performance.
• Partner with Engineering to design and implement new telemetry while prioritizing user privacy.
• Build relationships with cross-functional partners to identify data-driven insights for product decisions.
• Define and lead analyses to deepen understanding of software and products.
• Explore GenAI opportunities to optimize data science workflows and scale impact.

Skills

SQL

Python

R

Data Visualization

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Looker

Spark

Hadoop

Flink

Job description

Data Scientist / Senior Data Scientist, Software Engineering

Cupertino, California, United States Software and Services

At Apple, you’ll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices all over the world. We collaborate with teams across Apple including Engineering, Product, Marketing and Finance to solve challenges and improve the user experience. We are looking for an ambitious data scientist that is excited to work with large, complex datasets and shape the future direction of our products.

Description

As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You will own the analytical process end-to-end, from architecting and designing scalable and efficient data processing pipelines to conducting deep dive analyses and communicating the results. You will also explore new opportunities to innovate with GenAI and LLMs to accelerate our team’s velocity and impact. We are a fast‑paced and high‑functioning team of data scientists that use the latest Big Data technologies and GenAI to tackle complex, large‑scale problems using immense quantities of collected data. This team works closely with core operating systems (iOS, macOS, iPadOS, watchOS and visionOS), application development, and other cross‑functional teams across Apple’s platforms. The ideal candidate has a strong technical background and is excited to work on a collaborative and innovative team.

Responsibilities

• Design and own the foundational datasets, visualizations and reports for Apple’s leadership that communicate a cohesive narrative about our core operating systems (iOS, iPadOS, macOS, watchOS and visionOS).
• Develop robust and scalable metrics frameworks, data pipelines, and comprehensive reporting to measure the health and performance of Apple’s products and features.
• Partner with Engineering to design and implement new telemetry while prioritizing user privacy.
• Build relationships with cross‑functional partners in Engineering, Product and Marketing to identify data‑driven insights and opportunities to inform product decisions and improve the user experience.
• Define and lead rigorous and innovative analyses to deepen our understanding of our software and products.
• Innovate and transform the way in which our team works — explore new opportunities to leverage Generative AI and new technologies to optimize Data Science workflows and scale the impact of our team.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
• Strong proficiency in SQL and at least one programming language, such as Python or R, and experience with data visualization platforms (e.g. Tableau, Looker).
• 3+ years of data science or related experience, preferably in a consumer tech company.
• Strong fundamentals in data engineering, product analytics, statistics, and machine learning.
• Experience with distributed computing frameworks like Spark, Hadoop or Flink.
• Excellent interpersonal and communication skills, with the ability to collaborate effectively with both technical and non‑technical teams.
• Self‑motivated and intellectually curious, with a demonstrated ability to thrive in ambiguous problem spaces.

Preferred Qualifications

• Experience with LLM‑driven workflows or leveraging GenAI to augment and improve Data Science workflows.
• Experience designing and building scalable data systems and pipelines to support complex, large‑scale analytics initiatives.
• Strong product mindset and commitment to improving the user experience.

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 $144,600 and $263,800, 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.