Data Scientist II, WW DSP Analytics
Core
Design and implement data science solutions to optimize Delivery Service Partner (DSP) capacity allocation, business health measurement, and delivery planning across the global DSP network.
Role type
Senior IC data scientist (optimization & causal inference)
Builds
Production-scale analytics, capacity planning models, business health measurement systems, and GenAI tools for DSP stakeholders
Domain
Logistics / Last-mile delivery / Operations research
Deliverable
production ML models | dashboards & analysis
Required skills
Mathematical optimization, causal inference, machine learning/statistical modeling, SQL, Python, data querying, quantitative analysis
Preferred skills
Ph.D. in quantitative field, experience at large tech company, GenAI model benchmarking, self-developed algorithm implementation
Technologies
Python, SQL, R, SAS, Matlab
Responsibilities
Design optimization formulations for capacity planning; Analyze sentiment risks and enhance business health algorithms; Translate business requirements into predictive models; Build scalable analytics dashboards and automated reporting; Partner with Data Engineers to expand GenAI tools; Mine complex datasets to generate actionable insights
Seniority
Senior, hands-on IC
