Data Science Engineer for Supply Chain Optimization
hace 4 semanas
About the Role
We are seeking a highly motivated and skilled Data Science Engineer to join our team in evolving Amazon's logistics network. As a key member of our team, you will be responsible for analyzing large datasets, designing and implementing data pipelines, and developing actionable recommendations using optimization and simulation techniques.
Key Responsibilities
- Design and create data pipelines using SQL and scripting languages (R, Python, Rust) to harmonize different data sources.
- Develop high-quality SQL code to retrieve and analyze data from database tables.
- Collaborate with stakeholders to analyze large datasets, prove and disprove hypotheses, and automate existing solutions.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Requirements
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Bachelor's degree in sciences, engineering, finance, or equivalent.
- +3 years of experience in business intelligence or related role.
- Fluent in Spanish and English (B2+).
- 2+ years of experience with AWS or similar.
Preferred Qualifications
- Previous experience working with supply chain or logistics data.
- Experience applying optimization models.
- AWS Certification.
About Amazon
Amazon's extensive logistics system is comprised of thousands of fixed infrastructure nodes, with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazon's data and generate actionable recommendations using optimization and simulation.
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