Senior Data Scientist
PhantomFull Time
Senior (5 to 8 years)
Candidates must possess a Master's degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Industrial Engineering, or a related quantitative field, along with 15+ years of data science experience, including at least 5 years in transportation, logistics, or supply chain analytics. Deep expertise in building production ETA systems for multiple transportation modes, understanding of logistics operations, carrier networks, and transportation economics, and experience with high-volume, real-time prediction systems serving millions of requests are essential. Advanced proficiency in transportation data analysis, anomaly detection, pattern recognition, time series regression, spatial regression, hierarchical modeling, Bayesian methods, survival analysis, probabilistic forecasting, sequence models, attention mechanisms, and transformer architectures for temporal prediction is also required.
The Principal Data Scientist will lead technical innovation in Shipments ETA prediction across multiple transportation modes, driving accuracy improvements for Full Truck Load (FTL), Less-than-Truckload (LTL), Parcel, and complex multi-pickup/delivery scenarios. Responsibilities include designing and implementing state-of-the-art predictive models, developing unified frameworks for cross-modal optimization, building sophisticated models for dynamic routing with multi-pickup/delivery, and architecting scalable real-time prediction systems. The role also involves leading the development of advanced time series models incorporating seasonality, weather, and traffic, implementing cutting-edge geospatial models, creating novel features from telematics and driver behavior data, and developing probabilistic models for uncertainty quantification. Additionally, the Principal Data Scientist will define the technical roadmap for ETA prediction systems, partner with Product, Engineering, and Operations teams, represent the company at conferences, publish research, establish thought leadership, and guide junior data scientists.
Real-time supply chain visibility platform
FourKites provides a platform for supply chain management that focuses on real-time visibility and predictive analytics. The platform collects data from millions of shipments worldwide and uses AI technology to analyze this data, offering businesses insights to improve their supply chain operations. This helps companies manage risks, enhance responsiveness, and optimize their processes. FourKites connects all parts of a supply chain through its applications, ensuring that teams have access to the same information. A unique feature of their platform is Fin AI, which uses natural language processing to help businesses find optimization opportunities and automate tasks. Unlike its competitors, FourKites stands out by combining a vast real-time supply chain network with specialized applications and patented AI technology. The goal of FourKites is to help large brands manage their supply chains more effectively and efficiently.