MV Transportation
Data Scientist
Dallas, Texas, USA · full-time
Sponsorship not specifiedDetected 43 days ago
PythonAzureMachine LearningSparkData EngineeringData ScienceData VisualizationAgentic AIStatisticsForecastingLogisticsProcurementResearchLeadershipCommunicationDemand Planning
About the role
- If you reside in California, please see our for more information about our data handling practices and your data rights.
Responsibilities
- This role partners deeply with Operations, Technology, Product, Finance, and Executive Leadership to design and deploy analytics and AI solutions that materially improve service reliability, efficiency, and decision?making.
- Design and deploy operations research and analytics solutions for: Scheduling and rostering Fleet sizing and allocation Demand forecasting and capacity planning Service reliability, on?time performance, and cost optimization Balance mathematical optimality with operational practicality and change management.
- Design agentic workflows that integrate: Planning and reasoning Optimization tools and simulation engines Data platforms, APIs, and business rules Human?in?the?loop controls for safety?critical decisions Establish shared standards for governance, observability, safety, and accountability of agentic AI across departments.
- Microsoft Fabric & Cloud?First Enablement Partner with data engineering and platform teams to deliver solutions on Microsoft Fabric, including: OneLake, Lakehouses, and Warehouses Fabric Notebooks (Python / Spark) Power BI semantic models for operational decision support Ensure analytics and AI outputs are consumable by both technical and non?technical users.
- Influence cloud architecture decisions to support real?time and large?scale transportation analytics.
- The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.
Requirements
- 7+ years of industry experience working in transportation, logistics, mobility, or complex operational environments.
- Deep expertise in optimization, simulation, and statistical modeling, combined with ML.
- experience integrating OR solvers and dashboards.
- Experience delivering solutions in cloud?based, enterprise environments.
- Agentic AI?Specific Requirements Experience leading or designing agentic AI systems across multiple teams or functions.
- Ability to explain agentic concepts clearly to operations, leadership, IT, and risk teams.
Nice to have
- Experience in public transit, paratransit, logistics, or large fleet operations.
- Familiarity with Microsoft Azure and Fabric?based analytics ecosystems.
- Experience influencing AI governance, operating models, or centers of excellence.
- Prior leadership in enterprise transformation or modernization initiatives.
- What Success Looks Like Operations trust and actively use analytics and AI solutions.
- Agentic AI is adopted intentionally, safely, and cross?functionally?not in silos.
- Microsoft Fabric enables shared, consistent decision?making across teams.
- Leadership views this role as a connector between strategy, technology, and day?to?day operations.
Skills
- Microsoft Fabric, including:
- Research?to?Operations Translation Bring PhD?level rigor into applied, cross?functional problem solving.
- Produce internal frameworks, playbooks, and reference architectures used across teams.
Benefits
- AI investment decisions Automation risk and readiness Tradeoffs between cost, service quality, and equity Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the organization.
- Deterministic OR is sufficient ML adds value Agentic AI is appropriate Commitment to responsible AI deployment, particularly in safety?, equity?, and compliance?sensitive transportation systems.
- Translate advances in: Operations research Machine learning Reinforcement learning Agentic and autonomous systems into solutions that can be operationalized and sustained.
Company info
- We are seeking a Data Scientist with strong industry experience to operate as a cross?functional leader at the intersection of transportation operations, operations research, AI, and business strategy.
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