Data Scientist, AWF Exports Data Science
Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.
The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.
Key job responsibilities
· Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
· Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
· Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
· Acquire by building the necessary / ETL queries.
· Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.
· Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
· Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
· Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
· Build relationships with stakeholders and counterparts.
The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.
Key job responsibilities
· Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
· Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
· Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
· Acquire by building the necessary / ETL queries.
· Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.
· Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
· Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
· Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
· Build relationships with stakeholders and counterparts.