DESCRIPTION Key Responsibilities Own and develop advanced substitutability analysis frameworks combining text-based and visual matching capabilities Drive technical improvements to product matching models to enhance accuracy beyond current 79 in structured categories Design category-specific matching criteria particularly for complex categories like fashion where accuracy is currently at 20 Develop and implement advanced image matching techniques including pattern recognition style segmentation and texture analysis Create performance measurement frameworks to evaluate product matching accuracy across different product categories Partner with multiple data and analytics teams to integrate various data signals Provide technical expertise in scaling substitutability analysis across 2000 different product types in multiple markets Technical Requirements Deep expertise in developing hierarchical matching systems Solid background in image processing and visual similarity algorithms Experience with large-scale data analysis and model performance optimization Ability to work with multiple data sources and complex matching criteria Key job responsibilities Success Metrics Drive improvement in substitutability accuracy to 70 across all categories Reduce manual analysis time for product matching identification Successfully implement enhanced visual matching capabilities Create scalable solutions for multi-market implementation A day in the life Design develop implement test document and operate large-scale high-volume high-performance data structures for business intelligence analytics Implement data structures using best practices in data modeling ETL ELT processes SQL Oracle and OLAP technologies Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources Gather business and functional requirements and translate these requirements into robust scalable operable solutions that work well within the overall data architecture Analyze source data systems and drive best practices in source teams Participate in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance Produce comprehensive usable dataset documentation and metadata Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers Evaluate and make decisions around the use of new or existing software products and tools Mentor junior Business Research Analysts About the team The RBS-Availability program includes Selection Addition where new Head-Selections are added based on gaps identified by Selection Monitoring-SM Buyability ensuring new HS additions are buyable and recovering established ASINs that became non-buyable SoROOS rectify defects for sourceble out-of-stock ASINs Glance View Speed offering ASINs with the best promise speed based on Store Channel FC level nuances Emerging MPs ASIN Productivity To have every ASINS actual contribution profit to meet or exceed the estimate The North-Star of the Availability program is to Ensure all customer-relevant HS ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed To achieve this we collaborate with SM SCOT Retail Selection Category and US-ACES to identify overall opportunities defect drivers and ingress across forecasting sourcing procurability and availability systems fixing them through UDE Tech-based solutions BASIC QUALIFICATIONS 5 years of SQL experience Experience programming to extract transform and clean large multi-TB data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation e g Python and advanced SQL skills Experience with theory and practice of information retrieval data science machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing analyzing and communicating results to senior leadership 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

📌 Sr. Research Analyst - Availability Sciences, Rbs Availability (Tamil Nadu)
🏢 Amazon.com
📍 Tamil Nadu