Quelles sont les missions ?

Amazon EU Customer Fulfillment Operations is seeking a Research Scientist to leverage statistical analysis and machine learning expertise in understanding complex problem statements, driving fast and confident data-driven decisions. If you are passionate about answering some of the most complex dilemma in EUCF Operation, Learning and Development, this is your chance to make history.
At Amazon we believe that every day is day one. If you thrive in a challenging, fast-paced, highly analytical and result-oriented environment, you'll meet your match: we don't like to sit still, which is why we treat every day like the first. It's as simple as this: Work Hard. Have Fun. Make History.

Key job responsibilities
- Apply rigorous and scientific approaches to collect, analyze, and provide recommendations on critical business questions, enabling confident and swift decision-making in EU CF Operations
- Advocate technical solutions to business stakeholders, engineering teams, and executive-level decision makers
- Develop and execute experiments, including A/B and hypothesis testing, to assess the effectiveness and impact of various business strategies and initiatives
- Conduct financial analysis, determine ROI, and assess the economic impact of decisions, emphasizing trade-offs, risks, and benefits through robust statistical methodologies.
- Access, comprehend, and manipulate diverse datasets, constructing analytical models and performing measurements to extract meaningful insights and guide informed decision-making.
- Foster a culture of knowledge-sharing, actively collaborating with peers and professionals across disciplines to exchange expertise and stay at the forefront of statistical advancements.
- Utilize statistical analyses, including experimental design and hypothesis testing, to develop cutting-edge machine learning solutions that address complex business queries.
- Foster knowledge-sharing and actively learn from peers, collaborating with a diverse range of professionals, including hiring, coaching, and training.

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Lire la suite

Quel est le profil idéal ?

- Masters or PhD in STEM (science, technology, engineering or mathematics) related field
- Ability to communicate orally and in writing to present business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
- Advanced technical skills in Excel (PowerQuery, Data Analysis, Pivot Tables), Postgre SQL, Python (Pandas, Numpy).
- Experience in design of experiment, A/B and hypothesis testing, statistical modeling.
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products (eg apply statistical analysis to solve complex business problem statements).
- Strong understanding of standard machine-learning algorithms (supervised, unsupervised).
- Experience working in a dynamic, agile environment within a geographically distributed technical and non-technical teams.
- Technically curious, self-motivated, versatile and solution oriented.
- Ability to effectively prioritize projects, manage multiple competing priorities simultaneously, and drive projects to completion under tight deadlines.
- Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the world.

- In-depth knowledge using Excel (PowerQuery, Data Analysis,Pivot Tables ), PostgreSQL, and Python for data analysis (Pandas, Numpy), visualization (Matplotlib, Seaborn) and modeling (Scikit-learn, Scipy, PyTorch, TensorFlow, and Keras).
- Experience managing science projects e2e on AWS stack
- Strong understanding of Amazon operations and Learning and Development metrics.
- Outstanding communication skills, translating complex technical knowledge into actionable recommendations for directors and VPs and ability to tailor communication to different audiences and stakeholders.

Pourquoi les rejoindre ?

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

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