Business Research Analyst II RBS SizeFit
Business Research Analyst II RBS SizeFit
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
About Amazon:
Amazon strives to be Earths most customercentric 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 Amazon continues to grow and evolve as a worldclass ecommerce platform. Amazons evolution from Web site to ecommerce 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 Amazon 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 compatibility and basket building space. This will require collaboration with local and global teams which have process and technical expertise. Therefore RA should be a selfstarter who is passionate about discovering and solving complicated problems learning complex systems working with numbers and organizing and communicating data and reports. In compatibility program RA perform Big data analysis to identify patterns train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy efficiency and scalability. RA should writes clear and detailed functional specifications based on business requirements as well as writes and reviews business cases.
Key job responsibilities
Scoping driving and delivering complex projects across multiple teams.
Performs root cause analysis by understand the data need get data / pull the data and analyze it to form the hypothesis and validate it using data.
Conducting a thorough analysis of large datasets to identify patterns trends and insights that can inform the development of NLP applications.
Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
Designing and implementing core NLP tasks such as named entity recognition classification and partofspeech tagging.
Dive deep to drive product pilots build and analyze large data sets and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python) tools for database (e.g. SQL spark) and ML platform (tensorflow pytorch)
Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization.
Providing technical guidance and mentorship to junior team members and collaborating with external partners to integrate cuttingedge technologies.
Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills).
Performs supporting research conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities optimize processes and implement changes within their part of project.
Coordinates design effort between internal team and external team to develop optimal solutions for their part of project for Amazons network. Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan.
About the team
Amazon operates in a virtual global eCommerce environment without boundaries and operates a diverse set of businesses in 14 countries including Retail third party marketplaces eCommerce platforms web services for developers. Retail Business Service (RBS) organization is a core part of leading customer experience and selling partners experience optimization. This team is part of RBS Customer Experience business unit. The teams primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The compatibility program handled by this team has a direct impact on customer buying decisions and online user experience. Compatibility program aims to address Customer purchase questions if two products works together as well as reduce return due to incompatibility.
Basic Qualifications
Ability to analyse and then articulate business issues to a wide range of audiences using strong data written and verbal communication skills
Good mastery of BERT and other NLP frameworks such as GPT2 XLNet and Transformer models
Experience in NLP techniques such as tokenization parsing lexing named entity recognition sentiment analysis and spellchecking
Strong problemsolving skills creativity and ability to overcome challenges
SQL/ETL Automation Tools
Relevant bachelors degree or higher
3 years combined of 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
Be self motivated and autonomous with an ability to prioritize well and remain focused when working within a team located in across several countries and time zones
Preferred Qualifications
3 years combined of 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
Understanding of machine learning concepts including developing models and tuning the hyperparameters as well as deploying models and building ML service
Experience with computer vision algorithms and libraries such as OpenCV TensorFlow Caffe or PyTorch.
Technical expertise experience in Data science and ML
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.
Amazon strives to be Earths most customercentric 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 Amazon continues to grow and evolve as a worldclass ecommerce platform. Amazons evolution from Web site to ecommerce 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 Amazon 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 compatibility and basket building space. This will require collaboration with local and global teams which have process and technical expertise. Therefore RA should be a selfstarter who is passionate about discovering and solving complicated problems learning complex systems working with numbers and organizing and communicating data and reports. In compatibility program RA perform Big data analysis to identify patterns train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy efficiency and scalability. RA should writes clear and detailed functional specifications based on business requirements as well as writes and reviews business cases.
Key job responsibilities
Scoping driving and delivering complex projects across multiple teams.
Performs root cause analysis by understand the data need get data / pull the data and analyze it to form the hypothesis and validate it using data.
Conducting a thorough analysis of large datasets to identify patterns trends and insights that can inform the development of NLP applications.
Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
Designing and implementing core NLP tasks such as named entity recognition classification and partofspeech tagging.
Dive deep to drive product pilots build and analyze large data sets and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python) tools for database (e.g. SQL spark) and ML platform (tensorflow pytorch)
Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization.
Providing technical guidance and mentorship to junior team members and collaborating with external partners to integrate cuttingedge technologies.
Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills).
Performs supporting research conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities optimize processes and implement changes within their part of project.
Coordinates design effort between internal team and external team to develop optimal solutions for their part of project for Amazons network. Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan.
About the team
Amazon operates in a virtual global eCommerce environment without boundaries and operates a diverse set of businesses in 14 countries including Retail third party marketplaces eCommerce platforms web services for developers. Retail Business Service (RBS) organization is a core part of leading customer experience and selling partners experience optimization. This team is part of RBS Customer Experience business unit. The teams primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The compatibility program handled by this team has a direct impact on customer buying decisions and online user experience. Compatibility program aims to address Customer purchase questions if two products works together as well as reduce return due to incompatibility.
Basic Qualifications
Ability to analyse and then articulate business issues to a wide range of audiences using strong data written and verbal communication skills
Good mastery of BERT and other NLP frameworks such as GPT2 XLNet and Transformer models
Experience in NLP techniques such as tokenization parsing lexing named entity recognition sentiment analysis and spellchecking
Strong problemsolving skills creativity and ability to overcome challenges
SQL/ETL Automation Tools
Relevant bachelors degree or higher
3 years combined of 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
Be self motivated and autonomous with an ability to prioritize well and remain focused when working within a team located in across several countries and time zones
Preferred Qualifications
3 years combined of 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
Understanding of machine learning concepts including developing models and tuning the hyperparameters as well as deploying models and building ML service
Experience with computer vision algorithms and libraries such as OpenCV TensorFlow Caffe or PyTorch.
Technical expertise experience in Data science and ML
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
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
