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Flexport is a global commerce platform that enables companies of all sizes to move goods across 112 countries. The company processes over $19B in merchandise annually and is reshaping the $10T logistics industry through technology and innovation.
This Senior Data Scientist role focuses on building automated decision-making systems for Flexport's fulfillment and logistics network. You will develop machine learning and operations research solutions to optimize inventory management, delivery reliability, and network cost efficiency. Working cross-functionally with product, engineering, business, and operations teams, you will translate business challenges into data-driven solutions that directly impact merchant satisfaction and company profitability.
Key responsibilities include:
- Design and develop optimization models and ML algorithms to improve fulfillment network performance, including inventory management and delivery service reliability
- Collaborate with business and product teams to identify cost-saving opportunities and implement solutions for network variable cost reduction
- Contribute to projects with measurable business impact, from problem definition through execution
- Work cross-functionally to implement production processes, reporting systems, and KPI tracking
- Establish and promote data science best practices across the team and organization
- Leverage frontier AI models to identify growth and operational efficiency opportunities
You will be part of a team passionate about making complex logistics effortlessly accessible through intelligent, actionable insights.
REQUIREMENTS:
- Degree in a quantitative field (Operations Research, Applied Mathematics, Computer Science, Econometrics, or equivalent)
- 5+ years of industry experience solving optimization and/or machine learning problems with practical, automated solutions
- Proven experience developing, enhancing, and maintaining end-to-end data science production processes (data modeling, algorithm development, testing, metric tracking)
- Strong software engineering background with ability to build production systems and understanding of system architecture
- Proficiency with frontier AI models for identifying business growth and cost-saving opportunities
- Proficiency in Python and SQL; experience with Snowflake, dbt, and data visualization tools (e.g., Looker) preferred
- "Compliance first" mindset given the heavily regulated logistics industry
