Job Description

Verified Job On Employer Career Site Job Summary: Apple is a place where extraordinary people gather to do their lives best work. The Data Scientist role involves performing statistical analysis and building testing programs to optimize the Apple Online Store, while collaborating with various teams to enhance business insights through data analysis. Responsibilities: • 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. Qualifications: Required: • 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 utilizing Regression and Machine Learning Model Development for site traffic analysis. • 2 years of experience in utilizing Natural Language Processing, linear and logistic regression, decision trees, gradient boosting, and feature importance models. • 2 years of experience in designing multivariate experiments to measure site KPIs, such as conversion metrics. • 2 years of experience in performing post-test hypothesis testing. • 2 years of experience in applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques (such as seasonal ARIMA) for data analysis. • 2 years of experience in providing actionable business insights and decision support for site updates based on statistical analysis. • 2 years of experience in building, testing, implementing and analyzing A/B and multivariate testing programs. • 2 years of experience in communicating statistical and technical topics to non-technical business partners. • 2 years of experience in utilizing Python (Pandas, SciPi, ScikitLearn, NLTK, Keras, Tensorflow, and Statsmodels). • 2 years of experience in 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. Company: Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, California, USA, with a team of 10001+ employees. The company is currently Public Company. Apple has a track record of offering H1B sponsorships.

Job Tags

Seasonal work, H1b,

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