About the role
As the Principal Data Scientist for this venture, you'll own the modeling and analytical intelligence behind our pricing product - building, validating, and iterating on the ML systems that power how our platform recommends and adapts freight pricing in real time. You'll partner closely with product and engineering, but your core mandate is the science: the models, the experiments, the insights that make the product defensible.
What they're looking for
- Own the data science function for the venture, with freight pricing and revenue optimization as your primary domain
- Build and iterate on ML models - dynamic spot and contract pricing, lane-level demand forecasting, load acceptance optimization, price elasticity, and market benchmarking
- Design and run pricing experiments to validate model performance and surface actionable insights for product and commercial decisions
- Partner with engineers to move models from prototype into production - providing guidance on deployment, monitoring, and model maintenance
- Validate early business assumptions around freight pricing mechanics and contribute to the venture's monetization strategy with data-driven analysis
- Establish data science best practices and model governance standards for the venture
More about this role
About the Role
We're partnering with one of the largest freight and logistics companies in North America to reinvent how the trucking industry prices, bids, and captures value. This is a rare chance to work alongside a market leader with unmatched freight data depth, tackling pricing problems that have plagued carriers, brokers, and shippers for decades.
As the Principal Data Scientist for this venture, you'll own the modeling and analytical intelligence behind our pricing product - building, validating, and iterating on the ML systems that power how our platform recommends and adapts freight pricing in real time. You'll partner closely with product and engineering, but your core mandate is the science: the models, the experiments, the insights that make the product defensible.
What You'll Do
- Own the data science function for the venture, with freight pricing and revenue optimization as your primary domain
- Build and iterate on ML models - dynamic spot and contract pricing, lane-level demand forecasting, load acceptance optimization, price elasticity, and market benchmarking
- Design and run pricing experiments to validate model performance and surface actionable insights for...
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