Data Science Manager, Network Orchestration
Core
Lead a team of data scientists and ML engineers to build robust, data-driven solutions for real-time logistics decisions, including matching couriers, predicting arrival times, and balancing supply and demand.
Role type
Senior IC manager leading a logistics data science team
Builds
Production ML models and optimization systems for global online delivery logistics
Domain
Logistics / Supply Chain / Marketplace Economics
Deliverable
production ML models
Required skills
Team leadership and scaling, Strategic roadmap ownership, Hiring and organizational design, Experimental rigour and technical quality, Real-time inference and optimization under uncertainty, Cross-functional partnership with ML Engineering, Stakeholder communication at VP level
Preferred skills
None stated
Technologies
None stated
Responsibilities
Lead, coach, and scale a high-performing team of 15–20 Data Scientists, Operations Research Scientists, and Machine Learning Engineers; Build a durable leadership bench by mentoring senior individual contributors and team leads toward management and staff-level impact; Own the logistics data science roadmap, partnering with cross-functional leadership to identify and prioritize high-leverage business opportunities; Translate intricate logistics challenges like network congestion, pricing inefficiencies, and supply shortfalls into robust modeling strategies; Collaborate with ML Engineering to architect, deploy, and monitor highly scalable, production-ready machine learning systems; Act as the primary data science voice to VP-level stakeholders, translating complex model behavior into business outcomes
Seniority
Senior, hands-on IC with management responsibilities
