Applied Scientist III - Shipper Pricing
Core
Develop and improve real-time bidding algorithms for shipper freight using machine learning, causal inference, and optimization to balance gross and net revenue.
Role type
Senior IC applied scientist (pricing & optimization)
Builds
Real-time bidding algorithms for shipper freight
Domain
Logistics / Transportation / Real-time marketplaces
Deliverable
production ML models
Required skills
Machine learning, causal inference, optimization algorithms, A/B testing, Python, SQL, Spark
Preferred skills
Neural networks, reinforcement learning, pricing algorithms for multi-sided marketplaces
Responsibilities
Develop creative algorithms for optimally trading off gross and net revenue; Prototype and evaluate solutions using statistical analysis and simulation; Collaborate with engineering to deploy and productionize solutions; Establish standard methodologies for data science and experimentation; Analyze product performance and causal factors.
Seniority
Senior, hands-on IC
