Sr 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
- 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.

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- 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

To be successful in this role, you'll need to be an excellent developer of tech talent, a committed relationship manager with customers, a diligent prioritizer, a top-notch communicator (written and verbal), and a creative problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.Key job responsibilities
In this position you will:
- Consult with customers and help understand their requirements and priorities- Communicate with and support various internal stakeholders and external audiences
- Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS BedrockA day in the life

- Knowledge of product experimentation (A/B testing)
- Knowledge of a scripting language (Python, R, etc.)

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