Apple Data Scientist Jobs 2026 – San Diego, CA

Apple is hiring a Data Scientist in San Diego, California, for a full-time, on-site position within its Machine Learning and AI organization. The role focuses on working with large datasets, building reporting solutions, analyzing changes in business metrics, and improving data and reporting workflows. The position was posted on October 1, 2026, and Apple lists a base salary range of $137,500 to $207,100 per year.

Apple Data Scientist Jobs 2026 – Overview

Details	Information
Company	Apple Inc.
Job Title	Data Scientist
Location	San Diego, California, USA
Job Type	Full-Time
Work Mode	On-Site
Team	Machine Learning and AI
Role Number	200685416-3543
Posted Date	October 1, 2026
Experience	2+ years in the offered role or a related occupation
Education	Bachelor’s degree or foreign equivalent
Salary	$137,500 – $207,100 per year
Working Hours	40 hours per week

Apple’s current careers search identifies this Data Scientist position in San Diego under its Machine Learning and AI organization, with role number 200685416-3543 and 40 weekly hours.

About the Apple Data Scientist Job

The Data Scientist will work with large volumes of data and help transform that data into useful reports, metrics, and business insights.

The position involves extracting and manipulating large datasets using technologies such as Spark SQL, creating front-end reports, improving reporting infrastructure, and investigating changes in important metrics.

The role also involves working with other Data Analysts to understand reporting requirements and develop scalable reporting solutions.

Key Responsibilities

Selected candidates may be responsible for the following activities:

• Work with large volumes of structured and analytical data.
• Extract and manipulate large datasets using Spark SQL.
• Develop and maintain data-driven reporting solutions.
• Design and build front-end reports using reporting and visualization tools.
• Test reporting infrastructure improvements.
• Implement reporting infrastructure migrations.
• Prepare packaged summaries of reports for customers and stakeholders.
• Monitor volatility and changes in important metrics.
• Investigate significant changes in reported metrics.
• Work with team members to understand the reasons behind metric changes.
• Collaborate with Data Analysts to understand their reporting requirements.
• Develop scalable reporting solutions.
• Improve existing reporting workflows and processes.
• Maintain and enhance automated reporting pipelines.

Data Analysis Responsibilities

A major part of the position involves analyzing business and operational data.

The Data Scientist will be expected to examine datasets, identify meaningful changes in metrics, and perform analysis to understand why those changes occurred.

The position specifically calls for experience with exploratory data analysis and root cause analysis, meaning candidates should be comfortable investigating data patterns and determining potential reasons for changes in reported results.

SQL and Spark SQL Skills

Strong SQL capabilities are an important part of this position.

Candidates should have experience using SQL to manipulate large datasets. The job description also specifically mentions Spark SQL for extracting and manipulating large amounts of data.

Experience working with large datasets and writing efficient queries can therefore be particularly relevant to this role.

Tableau and Data Visualization

Apple’s requirements include experience creating and maintaining dashboards in Tableau.

Candidates should understand how to convert analytical results into dashboards and reports that can be used by business teams and other stakeholders.

The position also involves designing metrics that are aligned with business objectives and presenting information in useful reporting formats.

Reporting and Dashboard Development

The role involves designing and building front-end reports using a variety of reporting tools.

This means applicants should be comfortable working with reporting environments, dashboards, automated reporting processes, and data visualization.

Experience maintaining reporting infrastructure and implementing improvements or migrations is also specifically mentioned in the job description.

Root Cause Analysis

Another important requirement is the ability to investigate changes in metrics.

Candidates should have experience conducting root cause analysis to identify the causes of metric shifts.

For example, when an important business metric changes unexpectedly, the Data Scientist may analyze the underlying data, investigate potential causes, and help communicate the findings to relevant teams.

Exploratory Data Analysis

The position requires experience conducting exploratory data analysis (EDA) to answer business questions.

EDA generally involves examining datasets, identifying trends and patterns, checking data quality, and determining which factors may be relevant to a particular business or reporting question.

Apple specifically lists exploratory data analysis among the required experience areas for this role.

Workflow and Process Improvement

Apple is also looking for experience optimizing existing workflows through process improvement.

The selected candidate may work on improving reporting processes, making analytical workflows more efficient, and enhancing automated reporting pipelines.

This makes experience with process optimization and automation useful for applicants.

Automated Reporting Pipelines

Candidates should have experience maintaining and enhancing automated reporting pipelines.

This can involve ensuring that data moves reliably through reporting workflows, improving existing processes, and helping reporting systems remain scalable and efficient.

Experience with reporting automation and data workflows can therefore be relevant to the position.

Education Qualification

Apple requires:

• A Bachelor’s degree or foreign equivalent
• The degree should be in Business Analytics, Mathematics, Statistics, or a related field
• 2 years of experience in the offered role or a related occupation

The required experience can include the specified technical and analytical capabilities listed in the job description.

Required Skills and Experience

Applicants should have experience or education covering the following areas:

• SQL for manipulating large datasets
• Spark SQL
• Tableau dashboards
• Data visualization and reporting
• Designing metrics aligned with business objectives
• Root cause analysis
• Exploratory data analysis
• Business-focused data analysis
• Workflow optimization
• Process improvement
• Automated reporting pipelines
• Large-scale data manipulation
• Reporting infrastructure improvements and migrations

Salary

Apple lists a base pay range of:

$137,500 – $207,100 per year

The exact base salary offered can depend on factors including the candidate’s skills, qualifications, experience, and work location.

The salary shown in the Dice listing provided for this job also matches this range: $137,500–$207,100 per year.

Apple notes that base pay is only one component of its overall compensation package. Eligible employees may also receive additional compensation and benefits depending on the applicable plan and position.

Apple Employee Benefits

Apple states that employees may be eligible for a range of benefits and compensation programs, including:

• Medical coverage
• Dental coverage
• Retirement benefits
• Employee stock purchase opportunities
• Restricted stock unit awards
• Discounted Apple products
• Free services
• Educational expense reimbursement, including certain tuition expenses
• Discretionary bonus or commission opportunities where applicable
• Relocation assistance where applicable

Benefits and eligibility are subject to Apple’s applicable plans, terms, and conditions.

Work Location

The position is based in:

San Diego, California, United States

The Dice listing identifies the position as On-site, and current third-party listings also describe it as an in-person position. Apple’s role listing identifies San Diego as the location and specifies 40 hours per week.

Who Can Apply?

This opportunity may be suitable for candidates who have:

• A Bachelor’s degree in Business Analytics, Mathematics, Statistics, or a related field
• At least 2 years of relevant professional experience
• Strong SQL skills
• Experience working with large datasets
• Spark SQL experience
• Tableau dashboard experience
• Data analysis experience
• Root cause analysis experience
• Exploratory data analysis experience
• Reporting and dashboard development experience
• Experience improving data workflows
• Experience maintaining automated reporting pipelines

Candidates should ensure that their education and professional experience satisfy Apple’s stated requirements before applying.

How to Apply for Apple Data Scientist Jobs 2026

Interested candidates can apply through Apple’s official careers website. The current Apple careers search lists Data Scientist – San Diego with role number 200685416-3543 and a posting date of October 1, 2026.

Applicants should review the official job description carefully and submit an updated resume highlighting their SQL, Spark SQL, Tableau, data analysis, reporting, dashboard, and workflow optimization experience.

APPLY ONLINE LINK : CLICK HERE

Conclusion

The Apple Data Scientist position in San Diego is a full-time, on-site opportunity focused on large-scale data analysis, SQL, Spark SQL, Tableau reporting, exploratory analysis, root cause analysis, dashboard development, and automated reporting workflows.

The position requires a relevant Bachelor’s degree and 2 years of experience, while Apple lists a base salary range of $137,500 to $207,100 per year.