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Sr Business Research Scientist, RBS

Sr Business Research Scientist, RBS

Amazon

8 - 13 years

25 - 30 Lacs

bengaluru

Posted:13 hours ago| Platform:

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Skills Required

system architecture automation architecture business research analytical machine learning system design data mining analytics technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

Were seeking a senior technical analytics leader to drive the development of an intelligent decision-making platform that will transform how Amazon makes operational decisions. This role will architect analytical frameworks that evolve static rules into dynamic, context-aware decisions at scale. The role requires sophisticated technical judgment to design generalized analytical patterns that work across diverse tet needs while maintaining precision and performance.
Technical Architecture Development (60%): Architect analytical frameworks that enable pattern detection and sharing across diverse decision types Design generalized analytical models that maintain tet-specific context while enabling cross-tet pattern learning Develop scalable validation frameworks for complex multi-tet pattern detection processing millions of decisions daily Create analytical approaches for real-time context processing that adapt to changing business conditions Design methods for automated pattern discovery and validation across decision domains Build platform-level analytical capabilities that scale across tet needs Technical Objectives: Define foundational analytical patterns for intelligent decision-making at scale Develop novel approaches for context-aware pattern detection using advanced AI/ML models, that work across tet boundaries Create analytical frameworks that enable pattern sharing while maintaining tet isolation Design validation approaches that scale across diverse decision types Establish platform-level analytical standards and goverce Manage technical dependencies across multiple engineering and science teams Success Metrics: Pattern detection effectiveness across diverse tet needs Real-time processing capabilities at scale Cross-tet pattern sharing effectiveness Platform-level analytical performance Tet adoption and expansion metrics Technical Requirements: Machine Learning AI: Expert knowledge of machine learning models and frameworks Proficiency with Large Language Models Strong background in clustering algorithms Deep expertise in designing generalized ML/LLM frameworks that scale Experience creating novel pattern detection approaches Strong background in multi-tet analytical systems Proven track record of pioneering new analytical methods Data Engineering: Experience with large-scale data pipelines Distributed computing systems expertise Data validation frameworks Experience with complex multi-tet data architectures Expertise in real-time analytical processing at scale Strong background in platform-level data modeling Track record of building generalized analytical frameworks System Architecture: Modular architecture design Microservices architecture API design and development Performance optimization Scalable system design Leadership Collaboration: Technical project leadership Cross-team collaboration Architecture goverce Technical documentation Mentoring and guidance A day in the life Lead architectural decisions for ML systems and data pipelines Review and optimize model performance metrics Analyze system health and scalability metrics Develop technical specifications and proof of concepts Debug complex production issues Evaluate and approve architecture changes Lead analytical decisions for ML/LLM systems Review and optimize pattern detection metrics Analyze system performance and scalability Develop analytical specifications Debug complex pattern detection issues Evaluate and approve analytical approaches Design solutions for improving decision accuracy Leadership Collaboration: Lead technical design reviews and architecture syncs Mentor team members on ML best practices Collaborate with data scientists on model improvements Align with cross-functional teams on technical dependencies Guide implementation strategies across multiple teams Review and approve technical proposals Provide architectural guidance for scaling solutions Strategic Focus: Drive improvements in model accuracy and system performance Define technical standards and best practices Balance immediate technical needs with long-term architecture Evaluate new ML technologies and approaches Guide innovation in automated trend detection Ensure system reliability and scalability Monitor and improve key performance metrics Regular Interactions: ML Engineers and Data Scientists Product and Platform teams Infrastructure teams Business Intelligence teams Senior technical leadership This role combines hands-on technical expertise in ML/AI with strategic architectural leadership, requiring both deep technical knowledge and strong collaboration skills. The focus is on driving technical excellence while ensuring successful delivery of large-scale ML solutions that impact business metrics. About the team The DecisionIQ team within RBS is transforming how Amazon makes operational decisions. Were building a platform that evolves static rules into intelligent, context-aware capabilities through advanced pattern detection and ML/LLM approaches. Our multi-disciplinary team combines analytics, science, and engineering expertise to solve complex challenges in real-time decision processing and pattern sharing across diverse tets. Working closely with multiple business domains across Amazon SDO and AWS organizations, were driving Amazons next phase of efficiency gains through intelligent automation. As part of RBSs Growth organization, we operate at the intersection of technical innovation and business impact. Experience with AWS technologies 8+ years of software development experience 6+ years of machine learning, statistical modeling, data mining, and analytics techniques experience Experience with large distributed IT systems Experience using data and metrics to drive improvements Bachelors degree or equivalent 3+ years leading complex technical projects Masters degree in statistics, data science, or an equivalent quantitative field Experience in online retail Experience designing large-scale systems and applications Previous experience with visual similarity algorithms

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Sr Business Research Scientist, RBS