Advanced Optimization Analytics Specialist
hace 2 semanas
At Amazon, we are revolutionizing the way products reach our customers. As a key member of our Last Mile team, you will play a crucial role in designing and running experiments to optimize delivery times while keeping costs low.
About the RoleWe are seeking an experienced Data Scientist to join our Execution Analytics organization. In this position, you will work closely with research scientists, machine learning experts, and economists to create analyses, implement solutions, and find new ways to improve last mile analytics. Your expertise in optimization modeling, Python coding, data collection, and analysis will be instrumental in driving business and technical solutions.
Key Responsibilities- Design and develop advanced mathematical models to define strategic and tactical needs for routing planning, supply chain optimization, network optimization, economics, and control theory.
- Apply mathematical optimization and control techniques to design optimal or near-optimal solution methodologies for in-house decision support tools and software.
- Research, prototype, simulate, and experiment with these models using Python or R; participate in production-level deployment.
- Create, enhance, and maintain technical documentation.
- Present findings to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.
To be successful in this role, you should possess:
- A Master's degree or Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Operations Research).
- 4+ years of experience as a Data Scientist, including proficiency in statistical models, such as multinomial logistic regression.
- Business-level English language skills.
- Familiarity with AWS QuickSight, Tableau, R Shiny, or other data visualization tools is a plus.
Amazon is committed to fostering a diverse and inclusive workplace where everyone can thrive. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth and development. If you are passionate about optimizing logistics and making a meaningful impact, please apply.
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