Top Transportation Data Science Jobs

The AI/ML Data Scientist will develop and deliver innovative AI/ML solutions, train models, collaborate with business partners, and communicate findings effectively.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

Develop ETL, analytics, dashboards, and predictive/optimization models to support fleet planning, procurement, lifecycle and residual value analysis. Clean and combine data, build repeatable workflows, communicate findings, and support cross-functional adoption and process improvements.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

Design and build data pipelines, warehouses, and production models; integrate multi-source fleet and business data; create dashboards and ML-driven insights; identify cost savings and operational inefficiencies; partner with CFO and executives to turn analyses into actionable decisions.

Lead strategy and delivery of predictive analytics and ML for revenue management. Build and deploy forecasting, pricing, and inventory optimization models; drive RMS calibration, A/B testing, and revenue attribution; translate technical output for executives; partner cross-functionally; recruit and mentor a data science team to maximize ticket and onboard revenue.

Serve as an internal consultant solving stakeholder business problems using data: extract data from SQL, analyze with Python/R/Excel, test statistical significance, visualize in Tableau, present findings, and collaborate with data engineers to enable implementation. Remote with regular collaboration days in Costa Mesa, CA.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.

Design and implement quantitative behavior metrics for autonomous vehicles, build and maintain data pipelines and dashboards, analyze large-scale vehicle logs and simulation data to identify regressions, set metric thresholds to support geofence expansion, and communicate findings to technical and non-technical stakeholders.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.