Data Scientist

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Description APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Perform statistical analysis of retail online data with the purpose of optimization (A/B testing) and forecasting. Build, test, implement and analyze multivariate testing programs for the Apple Online Store. Apply statistical methodologies such as Bayesian and non-parametric techniques, hypothesis testing, ANOVA, regression and fixed and random effects. Collaborate with product teams to propose, develop and implement experiments for investigating and answering business questions. Partner with Engineering and QA team to build A/B and Multivariate tests using designated testing platforms. Partner with Data Engineering team to ensure accurate collection of experiment values into the analytical clickstream. Quantify and analyze testing outcomes and provide analytical readouts on test results using various statistical techniques. Continuously supervise the business and technical requirements of the experimentation system using the results of data analysis. Assess the use of Bayesian analysis within testing roadmap and select appropriate scenarios for use. Apply Seasonal ARIMA to analysis where traditional A/B testing cannot be conducted in order to make statistical predictions around observed lift. Perform system and test QA analysis as needed to ensure that functional cookie values and analytics tags are appropriately classified and recorded in testing scenarios. Improve testing processes continuously to meet business needs. Make statistical recommendations to systems development teams for system improvements. Apply machine learning concepts such as regression, Natural Language Processing, Decision Trees, and Gradient Boosting, to develop holistic view of site traffic and features to identify areas of opportunity for testing and optimization. 40 hours/week. 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 $148,699 - $195,200/yr and your base pay will depend on your skills, qualifications, experience, and location. 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: Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Master's degree or foreign equivalent in Data Science or related field and 2 years of experience in the job offered or related occupation.
• 2 years of experience in each of the following skills:
• Utilizing Regression and Machine Learning Model Development for site traffic analysis
• Utilizing Natural Language Processing, linear and logistic regression, decision trees, gradient boosting, and feature importance models
• Designing multivariate experiments to measure site KPIs, such as conversion metrics
• Performing post-test hypothesis testing
• Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques (such as seasonal ARIMA) for data analysis
• Providing actionable business insights and decision support for site updates based on statistical analysis
• Building, testing, implementing and analyzing A/B and multivariate testing programs
• Communicating statistical and technical topics to non-technical business partners
• Utilizing Python (Pandas, SciPi, ScikitLearn, NLTK, Keras, Tensorflow, and Statsmodels), and R
• Utilizing SQL for data mining, including writing database queries for performance efficiency, including utilizing table indices and implementing database techniques to reduce cardinality, create tables, and partition data

Preferred Qualifications

• N/A

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 .