1

Apple Data Scientist Jobs (NOW HIRING)

ADP brings together the Apple Cloud Data Platform (ACDP), Apple Cloud AI (ACAI), and Apple ... MS in Computer Science, Engineering, or a related technical field, or equivalent practical ...

$42 - $55.75/hr

Site Reliability Engineer, Apple Data Platform / Multi-Cloud Infrastructure Austin, Texas, United ... Bachelor's Degree in Computer Science, an engineering‑related field, or equivalent related ...

Austin, Texas, United States Machine Learning and AI Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human ...

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 ...

$42 - $55.75/hr

Site Reliability Engineer, Apple Data Platform - AI/ML Platform Austin, Texas, United States ... Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related ...

$42 - $55.75/hr

Site Reliability Engineer, Apple Data Platform Austin, Texas, United States Software and Services ... Minimum Qualifications * BS/MS in Computer Science or Equivalent * 5+ years of software development ...

Showing results 21-40

Apple Data Scientist information

See salary details

$46K

$165K

$243.5K

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.

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 are popular job titles related to Apple Data Scientist jobs?

For Apple Data Scientist jobs, the most frequently searched job titles are:

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.

Data Scientist - Strategic Data Solutions

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$130K - $196K/yr

Full-time

Medical, Dental, Retirement

Re-posted 18 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

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
Pay & Benefits
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 $130,200 and $196,200, 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.

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