ZipRecruiter

Log In

1

Internship Apple Data Scientist Jobs (NOW HIRING)

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 ...

previous page

Showing results 41-60

All JobsApple Data Scientist JobsInternship Apple Data Scientist Jobs

Internship Apple Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship apple data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for internship 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 is the difference between Internship Apple Data Scientist vs Internship Google Data Scientist?

AspectInternship Apple Data ScientistInternship Google Data Scientist
Required CredentialsUndergraduate or graduate degree in CS, Data Science, or related field; programming skills in Python, R; familiarity with machine learningSimilar educational background; strong programming skills; knowledge of data analysis and ML techniques
Work EnvironmentInnovative tech environment, collaborative teams, focus on consumer productsFast-paced, collaborative, focus on search, advertising, and cloud services
Employer & Industry UsageApple, consumer electronics, software, and servicesGoogle, internet services, advertising, cloud computing

Both internships target students with strong data science skills, programming knowledge, and a passion for tech innovation. While Apple emphasizes consumer hardware and software integration, Google focuses on internet services and cloud solutions. The roles are similar in requirements and work environment, making them comparable options for aspiring data scientists seeking internships at leading tech companies.

More about Internship Apple Data Scientist jobs

What cities are hiring for Internship Apple Data Scientist jobs?

Cities with the most Internship 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 Internship Apple Data Scientist jobs?

States with the most job openings for Internship Apple Data Scientist jobs include:

What job categories do people searching Internship Apple Data Scientist jobs look for?

The top searched job categories for Internship Apple Data Scientist jobs are:

Internship Apple Data Scientist jobs near you
Infographic showing various Internship Apple Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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)

Apple

Cupertino, CA • On-site

Full-time

Re-posted 12 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 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.
Description
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 understand
how 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.
Minimum Qualifications
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.
Preferred Qualifications
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

View All Apple Jobs

Apply