Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence

- Use machine learning techniques to forecast SPS investigations for improved long term and short term capacity planning. - Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt. - Design experiments, test hypotheses, and build actionable models to optimize CPT operations. - Solve analytical problems, and effectively communicate methodologies and results. - Build predictive models to forecast risks for product launches and operations and help predict workflow and capacity requirements for CPT operations. - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies. - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.