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0 Candidats |
Description du poste:
请注意,申请此实习岗位需要满足如下条件:
毕业时间:26年11月至27年9月之间毕业
实习时间:2026年开始,一周实习4-5天,持续6个月
工作地点:深圳市南山区
简历要求:请提供中英双语简历(放在一个文件中)
投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。
Amazon Private Brands aims to offer customers a wide selection of low-priced products with good quality. HPB sourcing team strives to deliver value products by selecting the best-in-class suppliers, track and improve supplier performance, and protect customer by proactive defect avoidance. We are looking for customer-obsessed interns to lead initiatives that further develop workflow automation, improve datamining and visualization. Internship will locate in Nanshan, Shenzhen.
The successful candidate will enjoy diving deep into data and identifying insights, as well as have a curious mind on manufacturing and continuous improvement. The ideal candidate will thrive in a highly collaborative, analytical, creative, and fast-paced international environment. The ideal candidate must be self-driven and have the analytical horsepower to break down complex problems, and a strong will to get things done and deliver results. Finally, the candidate must also be a strong communicator, with the ability to communicate concisely and effectively.
What will you gain:
- Gain product quality management, manufacturing industry and factory management knowledge;
- Apply your learnings in business environment, sharpening analytical and coding skills;
- Gain experience in a fast-paced, entrepreneurial working environment;
- Work with a diverse team with professionals from over 10+ different countries and various industries;
- Boost you resume with real world experience.
Key job responsibilities
- Conduct in-depth Product related data analysis to support business needs;
- Support Product Quality team AI Agent use case studies and prototype development;
- Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics;
- Learn Amazon Data infrastructure and tools, extract and integrate data from Datawarehouse for holistic analysis;
- Work with cross function stakeholders, provide data supports, business updates and solutions
Profil requis du candidat:
- Speak, write, and read fluently in English
- Speak, write, and read fluently in Mandarin
- Graduate between Nov 2026 to Sept 2027, currently working towards a Bachelors (BS) or Masters (MS) in Engineering, Computer Science, Data Science, Business Analytics, Information Management or similar;
- Proficient in SQL for data querying, analysis, and manipulation across large datasets;
- Knowledge of Python and experience using AI coding assistants (e.g., Claude Code, Cursor, Cline, GitHub Copilot, Q) to generate, understand, and debug code;
- Strong prompt engineering skills with experience using LLM tools (ChatGPT, Claude, or similar);
- High attention to detail, comfortable with "hands-on" task management, and proven ability to manage multiple competing priorities;
- Work 4 to 5 days per week for at least 6 months;
- Ability to work independently and as part of a team in a fast-paced environment.
- Prior internship experience in business analytics, AI/ML projects or product quality management;
- Experience with AI agent frameworks, workflow automation tools, or MCP (Model Context Protocol);
- Familiarity with AWS services (Bedrock, S3, Lambda, Redshift, Glue);
- Experience with data visualization and dashboard development (e.g., QuickSight, Tableau).
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
| Origine: | Site web de l'entreprise |
| Publié: | 17 Jan 2026 (vérifié le 18 Jan 2026) |
| Type de poste: | Stage |
| Secteur: | Internet / Nouveaux Médias |
| Durée d'emploi: | 6 mois |
| Langues: | Anglais |
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