1+ years of industry experience building data science driven solutions to solve business problems.
1+ years of hands-on coding skills (Python, R, and/or Spark) processing large-scale data, deriving key insights, developing machine learning models on structured and unstructured data, and maintaining production machine learning pipelines that are part of a production-type analytic solution
Bachelors degree required in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field
Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake), and experience optimizing SQL queries on large dataset.
3+ years of experience working with Tableau or other data visualization technologies.
Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendation to senior executives
Able to work effectively on sometimes ambiguous data and constructs within a fast-changing environment, tight deadlines and priority changes
Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, regularization, dimensionality reduction and other advanced analytic techniques.
Team player who enjoys collaborating with others
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.