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Data Scientist Ii, Forecasting, Selling Partner
7 months ago
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
Key job responsibilities
- 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 SPS 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 SPS 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
About the team
Selling Partner Services (SPS) provides services and solutions aimed at protecting our customers from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners.
Forecasting & Planning Research (FPR) team in SPS is responsible for estimating the potential future risk on the Amazon platform and its stores using state of art machine learning algorithms and is responsible for translating those estimates into the investigator headcount requirement in each country. The team consists of Data Scientists, Business Intelligence Engineers, Business Analysts and Program Managers.
Bangalore, KA, IND
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
