Data Scientist, Demand Planning and Workforce Intelligence

Amazon Selling Partner Services (SPS) teams mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. SPS safeguards every financial transaction across all Amazon sites. As such SPS designs and builds the software systems risk models and operational processes that minimize risk and maximize trust in . SPS organization is looking for a Data Scientist for its Forecasting and Planning Research team. The team is being grown to provide insights about its SPS planning and provide analytical solutions to help drive operational efficiencies uncover the hidden risks and trends reduce investigation errors and bad debt improve customer experience and predict & recommend the optimizations for future state of SPS operations.

As a Data Scientist you will be responsible for modeling complex problems discovering insights and identifying opportunities through the use of statistical machine learning algorithmic data mining and visualization techniques with a strong emphasis on leveraging Generative AI and Large Language Models (LLMs) to drive innovation. You will develop and deploy Gen AI-powered solutions for intelligent forecasting automated pattern recognition in variance analysis and conversational AI interfaces for operational dashboards. The role requires building agentic AI systems that enable natural language querying automated root cause analysis and intelligent recommendation engines for workforce optimization and resource planning. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems create operational efficiencies and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools data sources and analytical techniquesincluding transformer architectures foundation models and prompt engineeringto answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

- Bachelors degree or above in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- 1 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 1 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

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