TL;DR
Senior Data Scientist (AI): Leading science innovation and development for Amazon Fulfillment Tech Inventory, focusing on identifying and managing inventory defects and risks at e-commerce sale. Focus on analysis, prototyping, and implementation of solutions for Inventory Risk and Defect Management, and driving data transformation through automation and analytics.
Location: Onsite in Karnataka, India
Company
hirify.global is a company focused on leveraging artificial intelligence for e-commerce and logistics solutions.
What you will do
- Lead the analysis, prototyping, and implementation of solutions for Inventory Risk and Defect Management.
- Collaborate closely with other scientists and engineers to review and improve model design proposals.
- Partner with product managers and business stakeholders, documenting and explaining progress in business reviews.
- Lead data transformation by identifying and implementing opportunities for data automation and analytics.
- Participate actively in the community through science education and growth activities.
- Keep up to date with scientific developments in the field.
Requirements
- 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
- 4+ years of data scientist experience.
- Experience with statistical models, e.g., multinomial logistic regression.
Nice to have
- 2+ years of experience with data visualization using AWS QuickSight, Tableau, or R Shiny.
- Experience managing data pipelines.
- Experience as a leader and mentor on a data science team.
Culture & Benefits
- Inclusive culture that empowers Amazonians to deliver the best results for customers.
- Workplace accommodation or adjustment support available during the application and hiring process for disabilities.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →