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As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

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As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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This role requires an individual with experience leading large software projects, deep technical expertise, hands-on project management skills, and excellent leadership skills.who are we
Key job responsibilities
1. Develop technical roadmap, strategy, and facilitate the technical architecture between multiple complex systems.
2. Create buy-in for the technical vision and strategy both internally and with key external partners
3. Manage prioritization and trade-offs among customer experience, schedule, performance and cost
4. Proactively identify and resolve technical risks and issues that may impair the team's ability to meet strategic or technical goals.
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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职位:Applied scientist 应用科学家实习生(博士生)
毕业时间:不限,实习期间需保持在校生身份
· 入职日期:2025年Q3
· 实习时间:保证一周实习4-5天全职实习,至少持续3个月
· 工作地点:北京朝阳区酒仙桥路恒通商务园区
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。
- 正在攻读计算机工程,计算机科学,机器学习,运筹学,统计或相关领域的硕士或博士学位。
- 有机器学习实验设计和统计分析的经验。
- 有使用代码和工具实现算法的经验。
- 有Java,C ++或其他编程语言,以及Python或类似脚本语言的经验。
- 在顶级NLP或ML会议或者期刊上有论文发表。
- 技术视野好;能与技术团队成员深入讨论概念和算法,并对应用问题提出恰当的解决方案。
- 出色的批判性思维能力;能以口头和书面形式清楚地向团队沟通您的技术方案。
- 如有任何问题,请邮件至:cn-sp-sde@amazon.com ,邮件标题请标注“应用科学家+姓名+学校+毕业年份,举例应用科学家+张三+北邮+2025年

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Key job responsibilities
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
These jobs might be a good fit