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Key job responsibilities
- Develop and implement advanced pricing models and algorithms for cross-border logistics operations
- Analyze large datasets to identify patterns, trends, and opportunities for optimization
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions- Communicate complex analytical findings to stakeholders and leadership
- Stay up-to-date with the latest developments in pricing science and logistics domainsA day in the life
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with statistical models e.g. multinomial logistic regression
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