Description

We're seeking a Research Analyst leader to collaborate the development of an intelligent decision-making platform that will transform how Amazon makes operational decisions. This role

drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art AI models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with AI models.

Key job responsibilities

Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals
Conduct product pilots demonstrating customer obsession and innovation
Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
Act as a bridge between science and software teams to deliver optimized solutions
Communicate technical concepts to stakeholders at all levels
Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics
Monitor and maintain existing solutions to ensure peak performance

About The Team

We operate at the intersection of product, science, and GTM — building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant that enters the funnel moves through onboarding with velocity, quality, and trust.

You will work directly with platform leadership, applied science, engineering, BAs, and tenant-side stakeholders to drive the operational machinery that turns platform readiness into production impact — one tenant at a time, then many in parallel.

Basic Qualifications

Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
Experience using Python scripting to process data for modeling
Experience in Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory.

Preferred Qualifications

Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - ADCI - BLR 14 SEZ

Job ID: A10448647

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