This role focuses on developing advanced models leveraging location, routing, and traffic signals to enhance final-mile logistics
Job Summary
This role focuses on developing advanced models leveraging location, routing, and traffic signals to enhance final-mile logistics.
Candidates will work with large-scale GPS traces and mapping data to drive actionable operational decisions.
The position offers competitive compensation including discretionary vacation, paid holidays, and eligibility for an annual bonus and restricted stock units.
Matching Summary
This role focuses on developing advanced models leveraging location, routing, and traffic signals to enhance final-mile logistics.
Salary
Base: $76,100-$130,000; Bonus/Equity: Eligible for annual bonus and restricted stock units; Benefits: Medical, dental, vision, 401k, discretionary vacation
Skills & Requirements
Must-have
Geospatial data analysis experience
Python programming with pandas scikit-learn
Predictive modeling and feature engineering
Experience with large-scale distributed systems
Causal inference and experimentation design
Nice-to-have
PyTorch or TensorFlow deep learning frameworks
Collaboration with product managers and engineers
Spatial indexing and routing system knowledge
Ability to translate insights into operational decisions
Key Requirements
MS or PhD in Statistics, Applied Mathematics, or Computer Science
2+ years of experience with geospatial data
Strong Python skills required
Hybrid work arrangement near Birmingham, San Francisco, or Minneapolis