Job Description
Summary
Description
PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html.
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 Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.
Minimum Qualifications
- Bachelor’s degree or foreign equivalent in Statistical Science, Data Science, Mathematics, or related field and 4 years of experience in the job offered or related occupation.
- 3 year of experience with each of the following skills is required:
- Designing complex experimentation use cases
- Statistical analysis with hypothesis testing, confidence interval, or linear/non-linear regression
- Use SQL to analyze and extract insights from terabytes of user behavior data
- Processing and analyzing complex experimentation scalable data using Python
- Utilizing Machine Learning to identify patterns in complex experimentation and observational study data
- Utilize artificial intelligence to create documentation for experimentation
- Leveraging AI/ML (e.g., LLM, RLHF) and data engineering (e.g., Airflow) techniques to automate analytics workflows and enable scaling
Preferred Qualifications
- N/A