Data Scientist – Transportation & Logistics Intelligence
ShipMonk
Prague, Czech Republic
On-site
4+ years building predictive models
Expert python and sql proficiency
Experience with dbt and snowflake
ShipMonk is seeking a Data Scientist specializing in Transportation & Logistics Intelligence to enhance their predictive modeling capabilities for shipping logistics. The ideal candidate will have a strong background in data science, logistics, and machine learning, focusing on transforming manual processes into automated systems
Job Summary
The role focuses on transforming manual logistics workflows into autonomous, predictive systems powered by machine learning.
You will build real-time models to optimize shipping margins, predict delivery dates dynamically, and identify at-risk shipments proactively.
ShipMonk invests over $10 million annually in R&D to ensure technology evolves alongside merchant needs.
Matching Summary
Match Score: 85
ShipMonk is seeking a Data Scientist specializing in Transportation & Logistics Intelligence to enhance their predictive modeling capabilities for shipping logistics. The ideal candidate will have a strong background in data science, logistics, and machine learning, focusing on transforming manual processes into automated systems.
Skills & Requirements
Must-have
4+ years building predictive models
Expert Python and SQL proficiency
Experience with dbt and Snowflake
Machine learning frameworks like XGBoost
Real-time model deployment experience
Nice-to-have
Background in supply chain logistics
Understanding of carrier performance metrics
Experience with A/B testing validation
Ability to translate data to margin impact
Key Requirements
Master's or PhD in Data Science or related field
Strong proficiency in complex DAGs and version-controlled pipelines
Proven track record of deploying models to production