Amazon Sr Research Analyst - Availability sciences RBS 

India, Tamil Nadu, Chennai 

624002281

Key Responsibilities:Own and develop advanced substitutability analysis frameworks combining text-based and visual matching capabilities
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 categoriesProvide technical expertise in scaling substitutability analysis across 2000 different product types in multiple marketsTechnical Requirements:Deep expertise in developing hierarchical matching systems
Strong 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 criteriaKey job responsibilities
Success Metrics:
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.

- 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