Senior Applied Scientist Operations Risk Compliance 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
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.

- Experience managing, analyzing and communicating results to senior leadership

Key job responsibilities
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.

- Experience managing, analyzing and communicating results to senior leadership

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
• Gather and translate business requirements into scalable products.
• Develop complex automated data products including dashboards, reports and self-service.
• Define the data architecture and mechanisms to optimize the functions of the team.
• Actively mentor junior BIE colleagues on trends, technologies, and best practices.

- Experience managing, analyzing and communicating results to senior leadership

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