San Diego, California, United States Software and Services
Description
Work on initiatives to improve user experience and drive growth - Partner closely with engineering, product and machine learning teams. Work falls broadly into three areas : Experimentation : Improve quality of experimentation, hypothesis generation, statistical techniques, rare event detection and underlying infrastructure.Optimization : Hyper parameter optimization, exploratory and ad-hoc analysis to improve customer experience.Advisory : Cut through the noise in data, identify key findings and distill recommendations for engineering, product and business owners.
Minimum Qualifications
Preferred Qualifications
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 $163,300 and $290,100, 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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Sr Data Scientist • San Diego, CA, United States