Applied Scientist Supply Chain Optimization 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- Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;About Luxembourg:
The Grand Duchy of Luxembourg is a diverse and multicultural country located in the heart of Europe, bordered by France, Belgium and Germany, with a total population of around half a million. Luxembourg has Luxembourgish, French and German as national languages, with English spoken by the many expatriates and most locals. Luxembourg is known for banking, steel and a number of EU institutions plus an increasing number of technology-centric organizations. Luxembourg boasts a rich cultural scene and a high standard of living. http://www.promoteluxembourg.com

- Experience programming in Java, C++, Python or related language
- Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application

- Have publications at top-tier peer-reviewed conferences or journals

Key job responsibilities- Review existing data challenges to deliver a comprehensive solution with appropriate data strategy and tools
- Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
A day in the life
You will develop and implement advanced models and tools, perform statistical analysis, and evaluate large datasets to create customized models and dashboards. Furthermore, you will play a crucial role in designing a reliable and scalable infrastructure for ongoing reporting and analytics. Your responsibilities will also include structuring complex problems, designing analytics solutions across multiple disciplines, and providing actionable recommendations that inform strategic planning, product strategy and launches, engineering improvements, marketing campaign optimization, customer service trends, and competitive research.

- 5+ years of professional or military experience
- 4+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.

- Experience programming in Java, C++, Python or related language
- Speak, write, and read fluently in English
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields

This position is based out of our EU Headquarters in Luxembourg.Key job responsibilities
• Build and maintain metrics to evaluate and enhance Inventory Placement’s systems.
• Create analytical tools and processes to accelerate insights and automation.
• Drive placement strategy improvements using data modeling and analysis to optimize product spread across Amazon facilities, enhancing selection and reducing customer delivery distance.
• Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
• Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, Fulfilled By Amazon (FBA) and Retail leadership.A day in the life
• Collaborate with a diverse team of Business Intelligence Engineers, Data Scientists, Program or Product Managers and Finance Analysts to develop effective metrics and analytical tools that address business goals.
• Partner with Business and Tech teams to prioritize impactful insights.
• Explore systems while performing anecdotes to understand concrete root causes.
• Scale findings from anecdotes to understand its impact and respective prioritization.
• Conduct data driven experiments to accelerate innovation.
• Perform analysis at scale with new metric cuts and/or statistical models.
• Explore AI to accelerate generation of insights.

- Experience with forecasting and statistical analysis

As a Senior TPM for Kuiper Enterprise Technology, you will be responsible for managing multiple projects across Kuiper enterprise applications suite of SAP systems. You will anticipate bottlenecks, use high judgment to make trade-offs, and balance the business needs with technical constraints. Your ability to understand the big picture of the project design and anticipate and plan dependencies is crucial as well to take large, complex projects, break them into manageable pieces, and deliver timely results is crucial.Key job responsibilities
• Understand business requirements working with PMT, Business stakeholders, super users
• Work with engineering teams (SAP Developers, Functional designers, process designers, security, Admin and other members) to understand the effort needed
• Build project plans and sprint schedules understanding engineering team bandwidth
• Manage dependencies inside and outside of the team to get the team answers on time, unblock the team and execute to aligned project plan and business need by dates
• Identify and escalate risks, manage issue resolution
• Bring in project management best practices , setup right processes, align with existing processes to delivery results
• Earn trust from the engineering team, stakeholders and leadership
• Setup Jira and other tools used for capturing and running projects and sprint cadenceExport Control Requirement:
A day in the life
This role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. This role requires ability to advocate on behalf of our customers (internal and external) and an ability to push back without being adversarial.

- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

Key job responsibilities
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, Computer Vision, AI, Computer Science, or other related technical fields
• Experience in data science and quantitative research
• Proficiency in technologies relevant to the subfield
• Experience in Natural Language Processing, and in particular Large Language Models

• 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