Data Scientist
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About The Position
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Create software to analyze large data sets and provide insights to executives, Software Engineers and Managers to help make product decisions and improve Apple’s products and services, using Python, visualization tools like Tableau, and presentation tools like Keynote and Jupyter Notebooks. Analyze operating system feature usage data from customers who opt-in to share data with Apple at scale with advanced data science techniques including classification, regression, clustering, and association analysis, after querying the data using SQL or Spark jobs Develop big data analytics platform solutions in Python for code reuse for self and peer data scientists at Apple. Complete statistical sampling and relevance studies in Python by computing significance errors to ensure accurate portrayal of. Responsible for feature selection analytics for large longitudinal studies in Python (e.g., Wrapper methods (forwards, backward, and stepwise selection), Filter methods (ANOVA, Pearson correlation, variance thresholding), and Embedded methods (Lasso, Ridge, Decision Tree)) for accurate advanced data science analysis Access data via Python in Structured Query Language (SQL) and Hadoop Distributed File System (HDFS) environments to achieve all of the above. Test new OS features before they release to ensure the data collected matches expectations. 40 hours/week.
