As a Research Analyst, you'll collaborate with experts to develop and own advance machine learning and AI solutions for business needs. You'll 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 The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.
Basic Qualifications
- Bachelor's degree in sciences, engineering, finance or equivalent
- 2+ years of software development experience
- Experience with large distributed IT systems
- Experience using data and metrics to drive improvements
- Experience in Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory.
- 4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
Preferred Qualifications
- 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
- Master's degree in sciences, engineering, finance or equivalent
- Experience designing large-scale systems and applications
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