Business Research Analyst - II, RBS
Amazon, San Francisco, CA, United States
As a Research Analyst, you'll collaborate with experts to develop and own advanced 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
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr