Business Research Analyst, RBS Brand Experience
Business Research Analyst, RBS Brand Experience
Posted on :
22-07-2025
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1 Vacancy
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Job Description
About :
strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices vast selection and convenience - continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to to research and develop technology that improves the lives of shoppers and sellers around the world.
Overview of the role
The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems learning complex systems working with numbers and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements.
Key job responsibilities
As a Research Analyst youll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. Youll drive product pilots demonstrating innovative thinking and customer focus. Youll build scalable solutions write high-quality code and develop state-of-the-art ML/LLM models. Youll coordinate between science and software teams optimizing solutions. The role requires thriving in ambiguous fast-paced environments and working independently with ML/LLM models.
Key job responsibilities
Collaborate and propose best in class ML/LLM solutions for business requirements
Dive deep to drive product pilots demonstrate innovation and customer obsession to steer the product roadmap
Develop scalable solutions by writing high-quality code building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
Communicate technical concepts to stakeholders at all levels
Ability to thrive in an ambiguous uncertain and fast moving ML/LLMuse case developments
Familiar with ML/LLM models and able to work independently.
- Bachelors degree in math/statistics/engineering or other equivalent quantitative discipline
- 2 years of relevant work experience in solving real world business problems using machine learning deep learning data mining and statistical algorithms
- Strong hands-on programming skills in Python SQL Hadoop/Hive. Additional knowledge of Spark Scala R Java desired but not mandatory
- 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 teams and stakeholders including development teams product management and operations.
- Masters degree with specialization in ML NLP or Computer Vision preferred
- 3 years relevant work experience in a related field/s (project management customer advocate product owner engineering business analysis)
- 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 Data science ML and Statistics
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices vast selection and convenience - continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to to research and develop technology that improves the lives of shoppers and sellers around the world.
Overview of the role
The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems learning complex systems working with numbers and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements.
Key job responsibilities
As a Research Analyst youll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. Youll drive product pilots demonstrating innovative thinking and customer focus. Youll build scalable solutions write high-quality code and develop state-of-the-art ML/LLM models. Youll coordinate between science and software teams optimizing solutions. The role requires thriving in ambiguous fast-paced environments and working independently with ML/LLM models.
Key job responsibilities
Collaborate and propose best in class ML/LLM solutions for business requirements
Dive deep to drive product pilots demonstrate innovation and customer obsession to steer the product roadmap
Develop scalable solutions by writing high-quality code building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
Communicate technical concepts to stakeholders at all levels
Ability to thrive in an ambiguous uncertain and fast moving ML/LLMuse case developments
Familiar with ML/LLM models and able to work independently.
- Bachelors degree in math/statistics/engineering or other equivalent quantitative discipline
- 2 years of relevant work experience in solving real world business problems using machine learning deep learning data mining and statistical algorithms
- Strong hands-on programming skills in Python SQL Hadoop/Hive. Additional knowledge of Spark Scala R Java desired but not mandatory
- 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 teams and stakeholders including development teams product management and operations.
- Masters degree with specialization in ML NLP or Computer Vision preferred
- 3 years relevant work experience in a related field/s (project management customer advocate product owner engineering business analysis)
- 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 Data science ML and Statistics
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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