Data Scientist | Logistics Algorithms

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Requirements:

• Proficiency in Python
• Experience with optimization techniques such as linear programming, dynamic programming and others
• Comfortable with SQL and experience working with large datasets to gather insights
• Understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action

Responsibilities:

• Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques
• Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making.
• Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions.