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Apple Data Scientist Jobs (NOW HIRING)

Apple

Demographic Data Scientist

Austin, TX

Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming ...

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

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

Data Scientist

San Diego, CA · On-site

Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations ... This includes defining the right data, ensuring quality of data and labeling, and running tests on ...

Apple

Data Scientist

San Diego, CA · On-site

Join Apple's HID Quality Engineering team to ensure our products exceed our customers' expectations ... This includes defining the right data, ensuring quality of data and labeling, and running tests on ...

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Apple Data Scientist information

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$46K

$165K

$243.5K

How much do apple data scientist jobs pay per year?

As of Aug 20, 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.

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:

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Demographic Data Scientist

Apple

Austin, TX

Full-time

Re-posted 16 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming, and machine learning within a human factors design team. You’ll have the unique opportunity to contribute to the development and continuing improvement of Apple hardware products by distilling data into actionable and intuitive visualizations from human interaction perspective.
Description
As a member of this team-oriented, collaborative group, you will be working on the latest, most innovative Apple products together with many cross-functional teams.
This role requires strong collaboration and curiosity in the application of different methods to ambiguous problems. Success in this role means being fluent in using statistics and visualization tools to answer specific questions about datasets regardless of sample size, and a passion about communicating solutions to dynamic problems through presentations.","responsibilities":"Write scripts to pre-process data to clean and verify integrity of data from various sources and formats.
Investigate new sources that can extend and improve insights.
Conduct data exploration on datasets, QA/QC, visualization, statistical and data analyses, and mathematical modeling.
Create custom visualizations that help decision makers quickly understand the data.
Collaborate and consult with cross-functional teams to help identify trends in their data or to build tools that will enable easier analysis and visualizations in the future.
Create statistical (or ML) models to understand human variation in populations
Preferred Qualifications
Experience making inferences from small-scale datasets
Experience with population modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty.
Experience with statistical methods such as Bayesian methods to identify trends and anomalies in multivariate and/or medium-sized and/or large-scale datasets.
Experience with human anthropometric, biometric, or perception/preference data, and/or a willingness to delve deeper in to these data types.
Experience using generative AI tools in workflows.
Minimum Qualifications
MS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology, Education, Economics, Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science.
Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in linear algebra, geometry, optimization, or inference techniques.
Strong programming skills in a scripting language (Python, R, Matlab, etc), using these tools to model and visualize data to enable data-driven decision making.
Possess excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility.
Demonstrated experience working in teams and collaborating with peers, with a willingness to solicit input and accept feedback.

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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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