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Data Scientist, Modeling and Optimization
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Job Description
- Req#: 32792106104
- Master's degree in a quantitative field, or Bachelor's degree with 5+ years of experience in statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 3+ years of experience with machine learning, statistical modeling, data analysis tools and techniques, and understanding of their performance parameters
- 2+ years of experience with data querying languages such as SQL, Hadoop, or Hive
- 2+ years in a data scientist or similar role involving data extraction, analysis, statistical modeling, and communication
- Knowledge of Operations Research, including mixed-integer linear programming, stochastic programming, simulation, and experience with software like Xpress, CPLEX, or Gurobi
- Experience in Python, Perl, or other scripting languages
- Experience in a machine learning or data scientist role within a large technology company
Data Scientist, Modeling and Optimization
Job ID: 2966251 | Amazon.com Services LLC
Amazon's Modeling and Optimization Team (MOP) is seeking a passionate individual with strong optimization and analytical skills to join us in designing and planning the most complex supply chain in the world.
The team is responsible for optimizing Amazon's global supply chain to ensure efficient inbound goods management from sellers and vendors, transportation to fulfillment centers, and delivery to customers. We work on diverse problems from network design to inventory management, supporting strategic decisions. This role offers a unique opportunity to impact the business directly while advancing scientific boundaries.
About the team
Learn more about our team
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon is an equal opportunity employer and values diversity. If you require workplace accommodations during the hiring process, please visit this link. Compensation varies by geographic location and experience, ranging from $125,500 to $212,800 annually, with potential additional benefits. For more details, visit Amazon Employee Benefits. Applications will be accepted until the position is filled.
#J-18808-LjbffrAbout the company
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