Employer: Audible, Inc.Title: Data Scientist IILocation: 1 Washington Street, Newark, NJ, 07102Duties: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL/ETL queries. Import processes through various company specific interfaces for accessing RedShift, and S3/edX storage systems. Build relationships with stakeholders and counterparts, and communicate model outputs, observations, and key performance indicators (KPIs) to the management to develop sustainable and consumable products. Explore and analyze data by inspecting univariate distributions and multivariate interactions, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. Position reports into Newark, NJ office; however, telecommuting from a home office may be allowed.Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of Data Scientist or other occupation/position/job title with research or work experience related to data processing and predictive Machine Learning modeling at scale.Experience may be gained concurrently and must include:Two (2) years in each of the following:- Building statistical models and machine learning models using large datasets from multiple resources- Non-linear models including Neural Nets or Deep Learning, and Gradient Boosting- Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.One (1) year in the following:- Using database technologies including SQL or ETL.Alternatively, will accept a Bachelor's and five (5) years of experience.Multiple positions. Apply online: www.amazon.jobs Job Code: ADBL135.