Senior Staff Data Scientist

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

We are seeking an exceptional Senior Staff Data Scientist with 8-10 years of experience to drive technical innovation in Shipments ETA prediction across multiple transportation modes. This senior individual contributor role requires deep expertise in predictive modeling, supply chain analytics, and transportation logistics, with particular strength in regression problems and modern deep learning architectures. You will be the technical authority driving ETA accuracy improvements for Full Truck Load (FTL), Less-than-Truckload (LTL), Parcel, and complex multi-pickup/delivery scenarios

What you'll be doing:

Technical Leadership & Innovation

• ETA Modeling Excellence: Design and implement state-of-the-art predictive models for shipment ETAs across FTL, LTL, Parcel, and multi-stop delivery scenarios
• Cross-Modal Optimization: Develop unified frameworks that account for mode-specific characteristics while maintaining consistency across transportation types
• Complex Routing Intelligence: Build sophisticated models for multi-pickup and delivery scenarios with dynamic routing optimization
• Real-time Prediction Systems: Architect scalable solutions that provide accurate ETAs with sub-second latency for millions of shipments

Advanced Analytics & Research

• Time Series Mastery: Lead development of advanced time series models incorporating seasonality, weather, traffic, and operational constraints
• Geospatial Analytics: Implement cutting-edge location-based models combining GPS tracking, route optimization, and historical patterns
• Feature Engineering Innovation: Create novel features from telematics data, driver behavior, carrier performance, and external data sources
• Uncertainty Quantification: Develop probabilistic models that provide confidence intervals and risk assessments for ETA predictions

Strategic Technical Influence

• Architecture Design: Define the technical roadmap for ETA prediction systems, balancing accuracy, scalability, and operational efficiency
• Cross-Functional Collaboration: Partner with Product, Engineering, and Operations teams to translate business requirements into technical solutions
• Industry Leadership: Represent the company at conferences, publish research, and establish thought leadership in transportation analytics
• Mentorship & Knowledge Transfer: Guide junior data scientists and establish best practices for transportation modeling

Transportation Domain Challenges You'll Solve

Multi-Modal ETA Complexity

• FTL Challenges: Long-haul routing with driver hours-of-service, fuel stops, and carrier-specific performance patterns
• LTL Complexity: Hub-and-spoke networks with consolidation delays, sorting times, and terminal-specific processing
• Parcel Dynamics: Last-mile delivery optimization with address-level precision and delivery attempt modeling
• Multi-Stop Scenarios: Complex pickup/delivery sequences with dynamic routing and time window constraints

Advanced Technical Problems

• Data Fusion: Integrating GPS tracking, weather data, traffic patterns, carrier performance, and operational constraints
• Uncertainty Modeling: Providing confidence intervals and risk assessments for critical shipments
• Real-time Adaptation: Updating predictions as new information becomes available d