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Amazon Sr Manager Data Science Amazon Business Europe 
Luxembourg, Luxembourg 
354738528

15.01.2025
DESCRIPTION

Key job responsibilities
• Strategic Leadership:
Partner with senior leaders to prioritize programs and align resources with strategic objectives.
• Team Development:• Science and Innovation:
Design and implement cutting-edge ML models, analytics systems, and scalable architectures to support B2B e-commerce.Stay abreast of industry developments to inspire and implement state-of-the-art solutions, particularly in GenAI.
• Stakeholder Engagement:
Represent scientific and technical initiatives to senior leadership, articulating trade-offs and driving consensus.• Operational Excellence:
Develop the data foundation and metrics to enhance operational transparency and decision-making.
Manage day-to-day technical operations, ensuring quality and efficiency across data pipelines, tools, and models.

BASIC QUALIFICATIONS

- Master’s degree in a quantitative field (Statistics, Economics, Computer Science, Operations Research, etc.).
- 10+ years of experience in advanced data science applications, managing terabyte-scale datasets.
- 7+ years of people management experience, including managing senior technical talent.
- Proven experience in applying ML to solve complex, large-scale problems.
- Demonstrated experience managing data science and analytics teams.
- Strong communication skills with a track record of engaging stakeholders at all levels.
- Proficiency in programming (e.g., Python, Java) and SQL as well as system design.


PREFERRED QUALIFICATIONS

- PhD in a relevant discipline.
- Experience in e-commerce or B2B domains.
- Experience in deploying ML models in production environments and with MLOps.
- Familiarity with AWS tools and large-scale data systems (e.g., Redshift, EMR, Sagemaker, ECS).
- Knowledge of Microsoft BI stack (SSAS, SSIS, PowerBI).