Sr. Data Scientist, Apple Services Digital Marketing

Apple Inc.; Culver City (CA); On-site; USD 157,000 - 237,000; Full time

Job summary

An established industry player is seeking a Sr. Data Scientist to enhance marketing campaigns through data-driven insights. In this pivotal role, you will build and maintain optimization models, machine learning algorithms, and data visualization tools to support marketing and product teams. Your expertise in statistical analysis and proficiency in SQL and Python will be key to translating complex data into actionable insights. Join a forward-thinking company that values innovation and diversity, and make a substantial impact on digital marketing strategies while enjoying a comprehensive benefits package.

Benefits

Medical Coverage

Retirement Plans

Educational Reimbursements

Stock Programs

Qualifications

• 5-7 years of experience manipulating data sets and using statistical models.
• Proficiency in SQL and Python or R for large datasets.
• Experience creating data visualizations using programming languages and BI tools.

Responsibilities

• Build and maintain data-driven optimization models and experiments.
• Produce performance benchmarks across digital marketing channels.
• Develop and maintain data analytics dashboards.

Skills

Data Manipulation

Statistical Analysis

SQL

Python

Machine Learning Techniques

Data Visualization

Analytical Problem Solving

Tools

Tableau

Git

GitHub

GitLab

Job description

Sr. Data Scientist, Apple Services Digital Marketing

Culver City, California, United States

Description

In this role, you will build and maintain data-driven optimization models, experiments, forecasting algorithms, machine learning models, and large language models to enhance campaign performance, identify trends, and optimize products. You will assess business needs to translate model outputs into actionable insights and reports for marketing and product teams.

Additional Responsibilities

1. Produce performance benchmarks across digital marketing channels by evaluating internal and competitor performance.
2. Create, maintain, and automate content taxonomies for attribution analyses.
3. Develop and maintain data analytics dashboards.
4. Communicate and present findings to key stakeholders.

Minimum Qualifications

• 5-7 years of experience manipulating data sets and using statistical models to extract insights and visualize them for stakeholders.
• Strong understanding of statistics.
• Proficiency in SQL and Python or R for working with large datasets.
• Knowledge of machine learning techniques (clustering, decision trees, neural networks, regression, classification, etc.).
• Experience building custom data models and algorithms.
• Experience creating data visualizations using programming languages and BI tools (e.g., Tableau, Python).
• Ability to solve problems analytically and communicate findings to technical and creative teams.

Preferred Qualifications

• Experience with engineering pipelines.
• Proficiency with version control systems (git, GitHub, GitLab).
• Proficiency in Mandarin.

At Apple, the base pay range for this role is between $157,000 and $236,300, determined by skills, qualifications, experience, and location. Employees may participate in stock programs, receive benefits such as medical coverage, retirement plans, educational reimbursements, and more. Benefits are subject to eligibility and plan terms.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights.