Business Research Analyst
Amazon
Business Research Analyst
Amazon
Sells products online and rents cloud computing
As a Level 4 Research Analyst, you will implement classical ML models and LLM based inferences to solve defined problems. You'll work closely with senior scientists and engineers, contributing to model development, evaluation, and optimization.
Key job responsibilities
* Implement machine learning models (classical ML covering classification and regression models) using Python and ML frameworks
* Develop and iterate prompts for LLMs using few-shot, CoT, and instruction-based techniques
* Conduct offline evaluations and benchmarking / testing on LLM and ML outputs
* Collaborate with engineers to deploy models in production and monitor performance
* Document experiments and results; participate and brief milestones in weekly sprint planning and model reviews
Expectations
* Demonstrates hands-on skills in Python and ML/LLM toolkits
* Understands trade-offs between Generative AI vs. Machine Learning approaches
* Can deliver scoped ML components with guidance
* Effective communicator and team collaborator
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.
- Bachelor's degree
- Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- Relevant experience in solving real world business problems using AI/ML or applying GenAI and LLMs through prompt engineering techniques.
- Strong hands-on programming skills in Python, SQL.
- Strong analytical thinking
- Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- Ability to collaborate effectively across multiple tech and business teams.
- PREFERRED QUALIFICATIONS
- Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in AI/ML and GenAI.
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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