Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. Apple is looking for a Sr. Data Scientist to work across all of Apple Services on businesses such as Apple Music, App Store, Apple One, iCloud, Apple Books, Apple Pay and more. This Sr. Data Scientist will work on the Apple Services Digital Marketing team to help us: excavate insights to optimize our marketing and products, and monitor external brand relevancy. This person must have a deep understanding of statistics, machine learning techniques, and digital marketing data to identify actionable insights and have the ability to successfully evangelize, educate, and enable within a very large organization.
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Description
In this role, you will build and maintain data driven optimization models, experiments, forecasting algorithms and machine learning models and large language models to better campaign performance, identify trends and optimize products. You will be responsible for assessing business needs to translate model outputs into tangible and actionable findings and reports for both marketing and product. ADDITIONAL RESPONSIBILITIES - Produce performance benchmarks across various digital marketing channels by evaluating both internal and competitor performance - Create, maintain and automate content taxonomies and use for attribution analyses - Create and maintain data analytics dashboards - 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
- Attains clear understanding of statistics
- Ability to code in SQL and Python or R to work with large data sets
- Knowledge around machine learning techniques (clustering, decision trees, artificial neural networks, regression, classification, etc)
- Experience building custom data models and algorithms to apply to data sets
- Understands digital marketing data - Social, SEO, Paid, etc
- Experience creating data visualizations with various programming languages and BI tools (Tableau, Python)
- Ability to both solve problems with an analytical mind set and explain findings and methodologies to technical and creative teams
Preferred Qualifications
- Experience with engineering pipelines
- Proficiency in code collaboration/version control systems (git/github/gitlab)
- Proficiency in Mandarin
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 $108,200 and $206,700, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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