Data Scientist II, Risk and Compliance Solutions (RCS)
- Salary
- ₹23–39 LPA
- Location
- Bengaluru
- Level
- Mid
- Experience
- Intermediate · 2+ years
About company
• 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 • BASIC QUALIFICATIONS - 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 Scie PREFERRED 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 sol
About Amazon
Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.