Data Scientist, Fitness & Fashion (Mosaic)
Data Scientist, Fitness & Fashion (Mosaic)
Posted on :
01-06-2025
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
Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
01-06-2025
Job Description
At Fashion/Fitness & Cross-category tech we leverage advanced AI technologies including the latest Large Language Models (LLMs) and Generative AI (GenAI) to build personalized customer experiences. Were seeking innovative Data Scientists passionate about leveraging advanced AI to tackle complex challenges in product intelligence data integration and knowledge discovery. In this role youll collaborate with our principal scientists as well as teams across Amazon to drive customer-focused solutions and amplify the impact of your work on our global customer base.
Key job responsibilities
- Design and implement solutions using the latest LLM and GenAI technologies to enhance product and customer understanding at unprecedented scale.
- Develop approaches to extract generate and validate product and customer attributes and relationships using multimodal AI combining text image and structured data analysis.
- Create systems that can automatically surface high-quality products from large candidate pool using Amazon Web Services (AWS).
- Implement natural language processing and computer vision solutions to extract insights from diverse data sources including web content user-generated data and product imagery.
- Collaborate with cross-functional teams to integrate AI-driven insights into Amazons product selection strategies and decision-making processes.
- 3 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in a ML or data scientist role with a large technology company
- Experience with big data: processing filtering and presenting large quantities (100K to Millions of rows) of data
- Experience with gigabyte and terabyte size data
- Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Design and implement solutions using the latest LLM and GenAI technologies to enhance product and customer understanding at unprecedented scale.
- Develop approaches to extract generate and validate product and customer attributes and relationships using multimodal AI combining text image and structured data analysis.
- Create systems that can automatically surface high-quality products from large candidate pool using Amazon Web Services (AWS).
- Implement natural language processing and computer vision solutions to extract insights from diverse data sources including web content user-generated data and product imagery.
- Collaborate with cross-functional teams to integrate AI-driven insights into Amazons product selection strategies and decision-making processes.
- 3 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in a ML or data scientist role with a large technology company
- Experience with big data: processing filtering and presenting large quantities (100K to Millions of rows) of data
- Experience with gigabyte and terabyte size data
- Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
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.
