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Apple Data Scientist Jobs (NOW HIRING)

Apple Inc.

$184K - $324K/yr

Sr. Data Scientist, Apple Business & Education Organization Cupertino, California, United States Software and Services The Business and Education team builds cloud and software solutions for ...

Apple

WW RCC Data Scientist

Cupertino, CA · On-site

The people here at Apple don't just create products - they build the kind of wonder that ... We are seeking a highly motivated Senior Data Scientist to help inform innovation strategy by ...

Apple

AIML - Sr Data Scientist, Evaluation

Cupertino, CA · On-site

$150K - $277K/yr

Description Research and develop evaluation methods to improve the quality of Apple user facing ... Proficiency in data science, machine learning, and analytics, including statistical data analysis.

Apple

AIML - Sr Data Scientist, Evaluation

Cupertino, CA · On-site

$184K - $324K/yr

Description Research and develop evaluation methods to improve the quality of Apple user facing ... Proficiency in data science, machine learning, and analytics, including statistical data analysis.

Apple

AIML - Sr Data Scientist, Evaluation

Cupertino, CA · On-site

$184K - $324K/yr

Description Research and develop evaluation methods to improve the quality of Apple user facing ... Proficiency in data science, machine learning, and analytics, including statistical data analysis.

Apple Inc.

$175K - $263K/yr

Data Scientist - Business Strategy, Product Marketing Cupertino, California, United States Corporate Functions At Apple, extraordinary products begin with a deep understanding of the people who use ...

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Apple Data Scientist information

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How much do apple data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for apple data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an Apple data scientist do?

An Apple Data Scientist analyzes large sets of data to uncover insights that drive product improvements, business decisions, and customer experiences at Apple. They use statistical methods, machine learning, and data visualization tools to interpret complex data from various sources. Collaboration with engineers, designers, and business teams is a key part of their role, ensuring that data-driven solutions align with Apple's high standards for innovation and privacy. Their work helps Apple understand user behavior, optimize products, and create new features.

How does an Apple data scientist typically collaborate with cross-functional teams to drive impactful projects?

At Apple, Data Scientists regularly partner with engineers, product managers, and designers to translate business questions into data-driven solutions. Collaboration often involves participating in project meetings, sharing analytical insights, and aligning on technical requirements. Data Scientists also work alongside software teams to deploy models, and with business stakeholders to interpret results, ensuring that analytical recommendations are actionable. This cross-functional teamwork enhances both the quality and impact of data science projects within Apple’s fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as an Apple data scientist, and why are they important?

To thrive as an Apple Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms, machine learning frameworks (like TensorFlow or PyTorch), and data visualization tools is commonly required, along with experience in version control systems such as Git. Effective communication, problem-solving ability, and collaborative mindset are key soft skills that help translate data insights into actionable business strategies. These skills ensure accurate data analysis, drive innovation, and support data-driven decision-making in a fast-evolving tech environment.

What is the difference between Apple Data Scientist vs Google Data Scientist?

AspectApple Data ScientistGoogle Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Statistics, or related fields; experience in data analysis and machine learningBachelor's or Master's in similar fields; strong skills in data modeling and programming
Work EnvironmentInnovative tech environment focused on consumer products and hardware integrationFast-paced, data-driven environment centered on search, advertising, and cloud services
Employer & Industry UsageUsed mainly within Apple’s hardware/software ecosystemApplied across Google’s diverse services like Search, Ads, and Cloud

Apple Data Scientists and Google Data Scientists share similar educational backgrounds and skills in data analysis and machine learning. However, their work environments differ: Apple focuses on consumer hardware and integrated ecosystems, while Google emphasizes search, advertising, and cloud services. Both roles are vital in their respective companies' data-driven strategies, but their specific projects and industry focus set them apart.

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Apple Data Scientist jobs near you
Infographic showing various Apple Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AIML - Data Scientist, Responsible AI, Product Insights

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 29 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day.
In this role, you'll apply product data science to the safety of Apple Intelligence - features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.
Description
Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values.
Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations - overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy.
The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean.
Minimum Qualifications
MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience.
Strong foundation in data science, analytics, and machine learning, including statistical analysis, A/B testing, and the full lifecycle of designing, running, and interpreting experiments.
Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data.
Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners.
Willingness to work with highly sensitive material, including exposure to offensive and controversial content.
Preferred Qualifications
Experience working in the Responsible AI space.
Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail.
A record of scientific research and publication.
Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.

What Apple employees say

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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