Sr Analytics Specialist Sa Eu North Ags-emea-europe North-wwso jobs at Amazon in Luxembourg, Luxembourg

In this role you will:
* Publish your innovation in top-tier academic venues and hone your presentation skills.
* Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield

* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Key job responsibilities
1. Build Analytical Applications and Dashboards:
- Design and develop interactive, user-friendly analytical applications and dashboards to enable data-driven decision-making for ShipTech stakeholders.
- Integrate with various data sources and APIs to provide a comprehensive view of shipping operations and performance metrics.
- Implement advanced data visualization techniques and interactive features to enhance the user experience.
2. Ensure Operational Reliability and Scalability:
- Monitor the health and performance of the ShipTech analytics platform, proactively identifying and resolving issues to maintain high availability and responsiveness.
- Implement robust testing frameworks, continuous integration, and deployment processes to ensure the reliability and consistency of the platform.
- Partner with data scientists, product managers, and domain experts to understand business requirements and translate them into technical solutions.
- Participate in design discussions, code reviews, and knowledge-sharing sessions to align on best practices and architectural decisions.
- Provide technical guidance and mentorship to more junior engineers to foster a culture of continuous learning and improvement.
4. Drive Innovation and Continuous Improvement:
- Stay up-to-date with the latest trends and technologies in the data engineering and analytics space.
- Identify opportunities to enhance the ShipTech analytics platform, proposing and implementing innovative solutions to improve efficiency, scalability, and user experience.
- Contribute to the development of reusable components, libraries, and frameworks to accelerate future project delivery.
5. Ensure Compliance and Data Governance:
- Implement data security and access controls to protect sensitive information and comply with relevant regulations and policies.- Document architectural decisions, operational procedures, and best practices to maintain the long-term maintainability of the platform.

- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in development in the last 3 years
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience troubleshooting and debugging technical systems

- Experience with AWS or cloud technologies
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with explainable machine learning and artificial intelligence methodologies and tools
- Experience building web applications with React and modern web technologies

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

Key job responsibilities
- Develop and maintain client relationships, negotiate sales contract and drive revenue based org goals.- Managing working-level relationships across the organization.- Uses expertise and judgment to select stakeholders to determine the right goals, inform decisions, and design long-term solutions.
- Communicating goals, roles, responsibilities and desired outcomes to cross-functional project teams to gain buy-in and deliver programs.- Addressing barriers through problem solving, communication and active coordination with stakeholders.

Your day will be dynamic and purpose-driven. You'll collaborate with world-class engineers, prototype innovative solutions, and rapidly transform ideas into functional technologies. Expect to engage in fast-paced development cycles where your creativity and technical expertise drive meaningful change.Key job responsibilitiesAnalyze complex technical challenges and develop strategic, efficient solutions
Participate in code reviews, architectural discussions, and continuous improvement initiatives
Contribute to a culture of technical excellence and knowledge sharing

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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

This role can be based in any of the below AMZL corporate offices: London, Madrid, Milan, Paris, Luxembourg, Barcelona, Munich with circa. 30% travel required.This position requires deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the European and worldwide level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition.
Key job responsibilities
- Lead the design and development of new processes, equipment, process-flows, Infrastructure across all processpaths with AMZL
- Optimize existing processes/equipment and program manage the expansion of new processes/equipment from concept to deployment
- Own and drive programs that improve capacity, productivity, safety and Ergonomics within Delivery Stations- Tracks metrics to identify areas of improvement across all processpaths- Creates strategy for long term roadmap
A day in the life
Your day could include engagement with all levels of the organization and multiple stakeholder groups to drive short, mid and long term decisions that have impact on a large scale across the AMZL network. You would also be working with partners from Operations, Process Improvement, Health and Safety, Ergonomics, Finance, Procurement and external vendors to design and deploy new equipment and processes for the multiple process paths in AMZL Delivery Stations. You will put in place mechanisms to track project success, measure KPIs and build reports to provide visibility to senior leaders across the organization. Finally, you will have fun doing everything listed above.Mentorship & Career Growth:Work/Life Harmony
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

- MBA, MSc or MEng (Logistics, Supply Chain, Engineering, Mathematics or equivalent)
- Knowledge of other EU languages (German, French, Italian or Spanish advantageous)
- Advanced data analysis skills, Knowledge & ability to use standard design and development tools e.g. AutoCAD, MS Visio
- Demonstrated ability to build strong working relationships with business partners and key stakeholders and the ability to work under pressure in a cross functional organization
- High level of written, verbal and interpersonal skills

Key job responsibilities
As part of this role you will:
1. Work closely with product, economist, Data Engineering, AI and ML teams to identify opportunities and issues.
2. Participate in developing strategy for turning data into actionable insights
3. Inspect key metrics to uncover trends and root causes of issues.
4. Build AI solutions to measure and provide insights on key inputs and output metrics that drive Amazon price perception
5. Develop deep dive tools and BIE products used across Amazon to understand our key metrics.
A day in the life
In this role you will have exposure to all phases of the product life cycle including researching customer needs, developing opportunity models, and building operational metrics. You will develop and maintain scalable, automated, user-friendly systems, AI solutions, and visual interfaces to support product strategy and operational performance. You will work closely with and guide a team of BIEs to work smarter, faster, and generate big ideas. The ideal candidate will be passionate about working with big data sets, exposure to data science, and contributing to product design.

- Experience managing, analyzing and communicating results to senior leadership