דרושים Senior Bie Pan-eu Programs ב-אמזון ב-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

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
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

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
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