About the company
Flexport is shaping the future of global trade with technology-powered logistics solutions. Companies of all sizes use Flexport to move more than $19B of merchandise across 112 countries a year.
Responsibilities
- Design and develop models and algorithms to improve the fulfillment network, including optimal inventory management and reliable delivery service
- Collaborate with business/product teams to reduce fulfillment network variable costs by identifying cost-saving opportunities
- Contribute to projects that measurably impact business goals, translating business needs into actionable development plans
- Work cross-functionally across Data Science, Engineering, Product, Planning and Operations to implement production processes and reporting
- Contribute to data science and analytics best practices across the organization
Requirements
- Degree in a quantitative field like Operations Research, Applied Mathematics, Computer Science, Econometrics
- 5+ years of industry experience in optimization and/or machine learning
- Experience developing end-to-end data science production processes, including data modeling, algorithm development, testing, and metric tracking
- Software engineering experience with strong understanding of system architecture
- Proficient with frontier AI models
- Proficient with Python and SQL
- Experience with Snowflake, dbt, data visualization/reporting tools (e.g. Looker) preferred
- Compliance-first attitude