The Job

Data Scientist II, Risk and Compliance Solutions (RCS)

Technology, Data & Digital · Data, AI & Analytics · Data Science

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In short

Amazon is seeking a Data Scientist II for its Risk and Compliance Solutions (RCS) team in Bengaluru, India. This role involves building and deploying predictive models to identify compliance risks and breaches, working with a variety of data sources and AWS technologies like Redshift, SageMaker, Lambda, and QuickSight. The ideal candidate will have strong analytical skills, experience in machine learning, and the ability to communicate complex findings to stakeholders.

Responsibilities

  • Build, deploy, and monitor predictive models that identify which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning.
  • Define target variables and labels with Compliance and 1LoD partners so model output maps to the risk taxonomy already in use.
  • Combine control testing results, alert and escalation data, investigation outcomes, and gross merchandise sales at risk into analysis-ready datasets.
  • Quantify control effectiveness across regions and separate genuine control failure from shifts in underlying exposure.
  • Design backtesting against historical events and select evaluation metrics suited to rare outcomes, including precision-recall and calibration measures.
  • Design and evaluate the analytics behind a joint testing environment where first line and second line teams test monitoring rule and risk model changes before release.
  • Turn model output into intelligence that reaches Compliance Officers and 1LoD teams across regions through forums, briefings, and alerting.
  • Apply generative artificial intelligence (GenAI) where it removes manual effort in control testing, requirement translation, and reporting.
  • Present model results, assumptions, and limitations to Compliance and business audiences, and document methodology to a standard that holds up under internal audit and external examination.
  • Extend proven approaches from the first compliance domain to the next, so each model becomes a reusable capability rather than a one-time analysis.
  • Learn Amazon's broad range of data resources and know how, when, and what to use.

Requirements

  • 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
  • 1+ years of guiding and coaching a group of researchers experience
  • 1+ years of working with or evaluating AI systems experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience applying theoretical models in an applied environment

Desired Qualifications

  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience working on multi-team, cross-disciplinary projects
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
  • Workplace accommodations and adjustments for individuals with disabilities during the application and hiring process.
#Data Science#Risk#Compliance#Analytics#Modeling#Machine Learning#AWS#GenAI
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Company

Amazon

Job Posted

4 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Qualification

Master, Doctoral

Applicants

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