Job Description
Amazon’s Customer and Partner Trust (CPT) organisation, which protects financial transactions across Amazon’s sites, is hiring a Data Scientist II for its Demand Planning and Workforce Intelligence team in Bengaluru. The team forecasts demand for CPT’s investigation operations and uses statistics, ML and data mining to find efficiencies, spot hidden risks and trends, and cut investigation errors and bad debt.
At a glance
- Role: Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence
- Posted: 20 May 2026
- Focus: Forecasting, workforce planning, risk analytics
- Location: Bengaluru, Karnataka, India
- Job ID: 10424866
- Apply: open until filled (re-checked 13 October 2026)
About the forecasting role
- Model complex problems and find insights with statistics, ML, data mining and visualisation
- Forecast demand and recommend how operations should be staffed and run
- Uncover hidden risks and trends and reduce investigation errors and bad debt
- Work with internal stakeholders and cross-functional teams to improve operational efficiency
- Present findings clearly, including to non-technical audiences
What Amazon is looking for
- At least 2 years of data scientist experience
- At least 3 years with SQL, a scripting language such as Python, or statistical software
- At least 3 years with ML and statistical modelling tools and techniques
- Applying theoretical models in an applied setting
Nice to have
- Python, Perl or another scripting language
- ML or data science experience at a large technology company
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Forecasting: bring a forecast you built, its error metric, and how people used it.
- Plain language: the posting stresses explaining insights to non-technical people.
- Ownership: show you can drive an issue to resolution on your own.
- Trust and safety: read about how marketplaces fight fraud before interviews.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.