Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence
Amazon - Bengaluru, Karnataka, IND
Posted May 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence Bengaluru, Karnataka, IND Amazon Customer and Partner Trust (CPT) team's 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. CPT safeguards every financial transaction across all Amazon sites. As such, CPT designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. CPT organization is looking for a Data Scientist for its Demand Planning and Workforce Intelligence (DPWI) team. The team is being grown to provide insights about its CPT 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. 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 techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should
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