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Apple Data Scientist Jobs (NOW HIRING)

Apple

Data Scientist

San Diego, CA · On-site

Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations ... for data exploration and analysis PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a ...

Apple

Data Scientist

Sunnyvale, CA · On-site

At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are seeking an exceptional Data Scientist to lead algorithm ...

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

$181K - $318K/yr

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... Description As a Data Scientist on the AIML Evaluation team, you will play a key role in ensuring ...

Apple

Staff Data Scientist

Sunnyvale, CA · On-site

The people here at Apple don't just create products - they build the kind of wonder that ... As a Staff Data Scientist, you will set the technical direction for AI-powered and personalized ...

Apple

Software Engineer, Data Solutions ASE

New York, NY · On-site

$125K - $150K/yr

Apple is seeking an experienced software engineer to join the Data Solutions team within Data ... Bachelor's degree in Computer Science or equivalent practical experience. Experience with ...

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Apple Data Scientist information

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$165K

$243.5K

How much do apple data scientist jobs pay per year?

As of Jun 9, 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.

How does a Data Scientist at Apple 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 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.

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.

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.
More about Apple Data Scientist jobs
What cities are hiring for Apple Data Scientist jobs? Cities with the most Apple Data Scientist job openings:
What are the most commonly searched types of Apple Data Scientist jobs? The most popular types of Apple Data Scientist jobs are:
What states have the most Apple Data Scientist jobs? States with the most job openings for Apple Data Scientist jobs include:
What job categories do people searching Apple Data Scientist jobs look for? The top searched job categories for Apple Data Scientist jobs are:
Apple Data Scientist jobs near you
Infographic showing various Apple Data Scientist job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 75% Part Time, and 15% Contract. Highlights an 52% Physical, and 48% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Apple Pay Marketing (Machine Learning Research)

Data Scientist, Apple Pay Marketing (Machine Learning Research)

Apple

Cupertino, CA • On-site

Full-time

Posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather, committing to values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. This happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation running through everything we do. When we bring everybody in, we can do the best work of our lives. ..Here, you'll do more than join something; you'll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly.
We are seeking an experienced Data Scientist with the intellectual curiosity and strategic depth to reimagine how Apple Pay measures and optimizes its marketing. You do not wait to be handed a question. Instead, you identify the questions worth asking, conceptualize the ideal frameworks to answer them, and propose innovative approaches that others have yet to consider. You possess a deep understanding of the marketing and media landscape. You know how marketing mix models quantify cross-channel effectiveness using statistical and econometric techniques. You understandhow incrementality testing, ranging from geo-based experiments to causal inference methods, isolates true causal lift. Furthermore, you know how behavioral signals derived from clustering, propensity modeling, and sequence analysis can shape smarter audience strategies and campaign designs. What sets you apart is your ability to architect the right measurement framework before a single model is built. You excel at identifying the causal assumptions that must hold, the confounders that must be controlled, and the experimental conditions required to make results actionable.You leverage Artificial Intelligence and Machine Learning to elevate these frameworks to unprecedented levels of rigor, scale, and speed. This includes building production-grade causal inference pipelines, designing ML-powered experiment analyses, and applying Large Language Models (LLMs) to accelerate how insights are generated and communicated.
Hands-on experience in marketing science, including building marketing mix models, causal inference, and incrementality measurement.Proven experience designing and executing rigorous marketing experiments.Demonstrated proficiency in applying ML techniques to large-scale marketing and customer datasets.Strong programming skills in Python and data science libraries (such as pandas, NumPy, scikit-learn, and statsmodels).Advanced command of SQL for querying, manipulating, and analyzing massive marketing and media datasets.Familiarity with Generative AI and large language models, along with a comfort level in integrating AI tools into daily analytical workflows.Exceptional written and verbal communication skills, with the ability to tell compelling stories with data to diverse technical and non-technical stakeholders.
Experience analyzing paid media data across various channels, including paid digital, in-store media, social, and other performance marketing platforms.Deep understanding of both awareness and performance marketing measurement.A track record of actively following industry trends in marketing science and media measurement, with a habit of bringing emerging methodologies and tools to the team.Experience applying Generative AI directly to marketing workflows, such as budget optimization, automated creative analysis, or campaign performance reporting.Advanced degree (M.S. or Ph.D.) in Statistics, Machine Learning, Econometrics, Marketing Science, or a related quantitative field.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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