Data Scientist Decision Intelligence 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

Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
Key job responsibilities- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Write high quality code to retrieve and analyze data
- Understand data resources and how, when, and what to use (and what not to use).A day in the lifeAbout the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay- Networking opportunities with fellow interns- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.Internship start dates vary throughout the year.
Internship length is ideally 6 months.

- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Work 40 hours/week minimum and commit to 6 month internship maximum

- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience with data querying or modeling with SQL or Excel
- Experience with SQL

Key job responsibilities
-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
-Simplify and automate reporting, audits, and other data-driven activities-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
-Learn new technology and techniques to meaningfully support product and process innovation

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Possessing a deep understanding of AWS products and services, as a Sr. Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Eligibility requirement:
* This role requires you to be a Swedish National and have business level proficiency in the Swedish languageKey job responsibilities- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of experience in cloud architecture and implementation,
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years hands-on experience with scripting languages (PowerShell, Python), design, automate, and optimize infrastructure provisioning, configuration management, and deployment processes leveraging Infrastructure as Code (IaC) tools (Terraform, Cloud Formation, Ansible).
- Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, AWS CodePipeline, and Code Deploy, experience with revision control source code repositories (Git, SVN, Mercurial, Perforce).
- Containerize applications using Docker, and manage container orchestration platforms like Kubernetes (EKS) or AWS Elastic Container Service (ECS) or Argo CD.

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• Conduct technical workshops, training sessions, and knowledge-sharing initiatives to upskill teams, blogging or writing technical articles or contributing to an open source project, provide technical guidance, best practices, and mentorship to teams, partners, and customers.

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
Key job responsibilities include:
[*]Design and automate ETL pipelines for business metrics.
[*]Design insightful dashboards for a senior non-tech audience.
[*]Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
[*]Research the most appropriate methodologies for a given analytical problem.
[*]Contribute to key business documents.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

Key job responsibilities
As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of consolidation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources.Key job responsibilities
Key job responsibilities
• Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
• Develop relationships with internal and external partner teams to enrich our collection of data.
• Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
• Analyze historical data to identify trends and support decision making.
• Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
• Improve upon existing methodologies by developing new data sources or architecture enhancements.
• Actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
• Collaborate with multiple teams and have cross-team impact.
• Research and benchmark our technology against other competing software in the industry.
• Actively mentor junior BIE colleagues on trends, technologies, and best practices.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space